An internet of things control method and system based on a refrigeration system

Abstract

The application relates to an Internet of Things control method and system based on a refrigeration system, and relates to the field of vehicle refrigeration, which comprises the following steps: collecting operation parameters; extracting a refrigeration load and a refrigerant amount from the operation parameters; determining a refrigeration duration according to the refrigeration load and the refrigerant amount, and determining a target position from the operation parameters; determining a driving duration in response to the target position; calling a driving position from the operation parameters when the refrigeration duration is lower than the driving duration; determining a supply distance based on the driving position, and determining a cold storage distance according to the refrigeration duration; if the supply distance is smaller than the cold storage distance, determining a supply route based on the supply distance; and generating and displaying a refrigeration supply prompt in response to the supply route. The application has the effects of improving the stability of refrigeration system operation and being capable of matching the supply demand of refrigeration resources in real time.

Description

Technical Field

[0001] This invention relates to the field of vehicle refrigeration, and in particular to an Internet of Things (IoT) control method and system based on a refrigeration system. Background Technology

[0002] A refrigeration system is an integrated refrigeration system that uses a vehicle-mounted refrigerator as its core to achieve precise temperature control within the vehicle in mobile scenarios, meeting the needs of preserving or refrigerating food, medicine, and other items.

[0003] In existing technologies, refrigeration systems generally require sufficient refrigeration resources (such as refrigerant, electricity, etc.) to carry out stable refrigeration work. Staff usually conduct periodic inspections of the refrigeration system to determine whether the refrigeration system needs to be replenished with refrigeration resources.

[0004] The transportation routes and refrigeration requirements of vehicles are prone to change, which in turn leads to changes in the demand for refrigeration resources. It is difficult for staff to accurately match the replenishment needs, which in turn leads to insufficient refrigeration time and damage to goods. Summary of the Invention

[0005] To improve the stability of refrigeration system operation and enable real-time matching of refrigeration resource replenishment needs, this invention provides an Internet of Things (IoT) control method and system based on a refrigeration system.

[0006] In a first aspect, the present invention provides an Internet of Things (IoT) control method based on a refrigeration system, employing the following technical solution: An IoT control method based on a refrigeration system includes: Step 100: Collect operating parameters; Step 101: Extract the cooling load and cooling dose from the operating parameters; Step 102: Determine the cooling duration based on the cooling load and cooling dose, and determine the target location from the operating parameters; Step 103: Determine the travel time in response to the target location; Step 104: When the cooling time is less than the driving time, retrieve the driving position from the operating parameters; Step 105: Determine the resupply distance based on the driving position, and determine the refrigeration distance based on the refrigeration duration; Step 106: If the supply distance is less than the refrigeration distance, determine the supply route based on the supply distance; Step 107: In response to the generation of the supply route, display a cooling supply prompt.

[0007] By adopting the above technical solution, operating parameters are collected in real time and the amount of remaining refrigerant is extracted. Combined with the target location, it is determined whether the refrigeration capacity meets the transportation requirements. When the refrigeration capacity is insufficient, the current driving position is retrieved from the operating parameters, and the nearest refueling route is planned and displayed to the driver, thereby improving the stability of the refrigeration system operation.

[0008] Optional, also includes: Step 108: Extract the cooling power from the operating parameters; Step 109: Determine the power supply duration based on the cooling power consumption; Step 110: When the power supply duration is less than the cooling duration, update the cooling duration according to the power supply duration, and retrieve the power supply location according to the driving location; Step 111: Update the resupply distance based on the driving position and power supply position.

[0009] By adopting the above technical solution, the cooling power of the refrigeration system can be extracted from the operating parameters in real time. This allows for a determination of whether the power supply capacity meets the transportation requirements based on the target location. Furthermore, the replenishment requirements of refrigerant and power can be integrated to optimize the replenishment route, thereby improving the stability of the refrigeration system operation.

[0010] Optional, also includes: Step 112: When the cooling time is less than the driving time, determine the candidate area by combining the driving position and the refrigeration distance, and determine the supply type based on the cooling time; Step 113: Determine candidate locations from the candidate areas based on the supply type; Step 114: Determine the transportation route by combining the driving position, candidate position, and target position; Step 115: Determine the transportation distance based on the transportation route; Step 116: Update the supply route based on the transport distance.

[0011] By adopting the above technical solution, when the vehicle's cooling resources are insufficient, all candidate locations that can replenish cooling resources before the vehicle loses its cooling capacity are selected according to the remaining cooling resources. This allows for the planning of transportation routes through different candidate locations, and the shortest transportation route is selected and shown to the driver, thereby improving the stability of the cooling system operation.

[0012] Optionally, it also includes a resource replenishment method, the resource replenishment method comprising: Step 200: When the cooling time is less than the travel time, determine the travel demand and cooling stock based on the transport distance and resupply type; Step 201: Calculate the difference between the travel demand and the refrigeration inventory, define it as the supplementary demand, and retrieve the candidate inventory based on the candidate location; Step 202: If the replenishment demand is greater than the available stock, determine the location of the shortage based on the transportation distance; Step 203: Update the candidate location in response to the defect location.

[0013] By adopting the above technical solution, the refrigeration resources at different resupply points are different. The refrigeration resources stored at different candidate locations are retrieved to filter out candidate locations whose refrigeration resources are insufficient to support the vehicles to complete transportation, thereby improving the accuracy of vehicle resupply route planning.

[0014] Optionally, the resource replenishment method further includes: Step 204: Determine the number of candidates based on the candidate positions; Step 205: When the number of candidates is equal to 0, determine the consumption demand in response to the supply distance, and determine the supply location based on the supply route; Step 206: Retrieve the supply stock according to the supply location; Step 207: Determine the remaining stock by combining the aforementioned refrigeration stock, consumption demand, and replenishment stock; Step 208: Determine the remaining distance in response to the remaining stock; Step 209: Update the candidate area based on the supply location and remaining distance.

[0015] By adopting the above technical solution, when the available stock is insufficient for the vehicle to complete the transportation, the vehicle is controlled to go to multiple nearest supply points in sequence until the refrigeration resources are sufficient, thereby mobilizing the refrigeration resources of multiple supply points to support the vehicle to complete the transportation, thereby improving the stability of the refrigeration system operation.

[0016] Optionally, the resource replenishment method further includes: Step 210: When the number of candidates is equal to 0, determine the driving route by combining the driving position and the target position; Step 211: Determine the route distance by comparing the location of the defect with the driving route; Step 212: Determine the score based on the route distance and the available inventory; Step 213: In response to the score, select the passed position; Step 214: Update the supply location based on the passed location.

[0017] By adopting the above technical solution, when the available stock is insufficient for the vehicle to complete the transportation, the distance between each candidate location and the vehicle's travel route when no resupply is made, thereby selecting the location with the smallest route distance and the largest available stock. This reduces the deviation between the vehicle's resupply route and the travel route while ensuring that the vehicle receives sufficient cooling resources, thus improving the accuracy of vehicle resupply route planning.

[0018] Optionally, it also includes a coordinated supply method, the coordinated supply method comprising: Step 300: Determine the route by combining the driving position, the passed position, the candidate position and the target position; Step 301: Determine the distance traveled based on the route taken, and determine the travel distance based on the driving route; Step 302: Calculate the difference between the distance traveled and the distance traveled, and define it as the additional distance; Step 303: Determine additional time in response to the additional distance, and determine a delay threshold based on the travel distance; Step 304: When the additional duration exceeds the delay threshold, generate and display a transportation delay prompt based on the additional duration.

[0019] By adopting the above technical solution, when vehicles go to resupply points, the transportation time may be increased. The route for resupply is planned according to the location passed and the candidate location. The route is then compared with the driving route to calculate the increased delay time. If the delay time is too large, the driver is notified in time, thereby improving the accuracy of vehicle resupply route planning.

[0020] Optionally, the coordinated supply method further includes: Step 305: When the additional duration exceeds the delay threshold, extract the travel time from the operating parameters; Step 306: Determine the elapsed time by combining the travel time, travel location, and passed location; Step 307: Determine the vehicle number in response to the travel time, arrival time, and arrival location; Step 308: Determine the surplus stock based on the supply type and vehicle number; Step 309: Update the candidate inventory based on the surplus inventory and the location.

[0021] By adopting the above technical solution, when the delay time is too long, the vehicle numbers that stopped at the location before the vehicle arrived at the location are retrieved, and the surplus stock of each vehicle number is retrieved to supplement the candidate stock, thereby improving the efficiency of refrigeration resource replenishment.

[0022] Optionally, the coordinated supply method further includes: Step 310: When the additional duration exceeds the delay threshold, determine the delay distance based on the delay threshold; Step 311: Determine the timely route by combining the aforementioned delay distance and the route taken; Step 312: Compare the real-time route and the route taken to determine the real-time location and the ignored location; Step 313: Determine the amount of inventory to be ignored based on the ignored positions; Step 314: Determine the collaboration radius based on the ignored inventory, and determine the collaboration range by combining the timely location and the collaboration radius; Step 315: Determine the cooperation number in response to the cooperation range, travel time, and transit time; Step 316: Determine the delay duration based on the coordination number and the timely location, and determine the surplus duration based on the coordination number; Step 317: If the delay duration is less than the surplus duration, determine the collaborative stock in response to the collaborative number; Step 318: Generate and send a collaborative replenishment command based on the collaborative stock and the ignored stock.

[0023] By adopting the above technical solution, when the delay time is too long, the maximum delay distance that the vehicle can travel when it is just not delayed is predicted according to the delay time. Then, a timely route with a distance just less than the delay distance is planned based on the location passed through. Then, vehicles around the timely location passed through in the timely route are called to the timely location, thereby replenishing the cooling resources in the timely location and improving the efficiency of cooling resource replenishment.

[0024] Secondly, this application provides an Internet of Things (IoT) control system based on a refrigeration system, employing the following technical solution: An IoT control system based on a refrigeration system includes: The data acquisition module is used to collect operating parameters; A memory for storing the program of any of the above-mentioned IoT control methods based on a refrigeration system; The processor is the unit of memory that allows programs to be loaded and executed by the processor.

[0025] By adopting the above technical solution, operating parameters are collected in real time and the amount of remaining refrigerant is extracted. Combined with the target location, it is determined whether the refrigeration capacity meets the transportation requirements. When the refrigeration capacity is insufficient, the current driving position is retrieved from the operating parameters, and the nearest refueling route is planned and displayed to the driver, thereby improving the stability of the refrigeration system operation.

[0026] In summary, this application includes at least one of the following beneficial technical effects: Real-time acquisition of operating parameters and extraction of the remaining refrigerant dosage, combined with the target location to determine whether the refrigeration capacity meets transportation needs, thereby retrieving the current driving location from the operating parameters when the refrigeration capacity is insufficient, planning the nearest refueling route and displaying it to the driver, thereby improving the stability of the refrigeration system operation; The refrigeration power of the refrigeration system is extracted from the operating parameters in real time. This is then combined with the target location to determine whether the power supply capacity meets the transportation requirements. In turn, the replenishment requirements of refrigerant and power are integrated to optimize the replenishment route, thereby improving the stability of the refrigeration system operation. When the vehicle's cooling resources are insufficient, all candidate locations that can replenish cooling resources before the vehicle loses its cooling capacity are selected based on the remaining cooling resources. This allows for the planning of transportation routes through different candidate locations, and the shortest transportation route is selected and displayed to the driver, thereby improving the stability of the cooling system's operation. Attached Figure Description

[0027] Figure 1 This is a flowchart of an Internet of Things (IoT) control method based on a refrigeration system; Figure 2 This is a flowchart of the resource replenishment method; Figure 3 This is a flowchart of the collaborative supply method. Detailed Implementation

[0028] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0029] Reference Figure 1 This application discloses an Internet of Things (IoT) control method based on a refrigeration system, comprising: Step 100: Collect operating parameters.

[0030] Operating parameters refer to data collected while the vehicle is in motion. These parameters typically include refrigerant charge, refrigerant load, target location, driving location, refrigerant charge, and driving time. These parameters can be retrieved from the vehicle's control system and uploaded via IoT technology. The method for collecting these parameters is selected by the staff based on the actual situation and will not be elaborated upon here.

[0031] Step 101: Extract the cooling load and cooling dose from the operating parameters.

[0032] The refrigerant charge refers to the volume of refrigerant remaining in the vehicle. The refrigerant charge can be read from the operating parameters. The method for extracting the refrigerant charge is selected by the staff according to the actual situation, and will not be elaborated here.

[0033] Step 102: Determine the cooling duration based on the cooling load and cooling dose, and determine the target location from the operating parameters.

[0034] Cooling duration refers to the maximum duration for which the onboard refrigerator can provide stable cooling under the current cooling load of the vehicle. The larger the cooling dose and the smaller the cooling load, the longer the cooling duration. The cooling duration corresponding to the cooling dose and cooling load can be found in the cooling correspondence table. The cooling load refers to the cooling requirements of the vehicle. Generally, the set temperature value of the onboard refrigerator is used as the cooling load. The cooling load can be read from the operating parameters. The cooling correspondence table is a data table that records different cooling doses and cooling loads and their corresponding cooling durations.

[0035] The target location refers to the destination of the goods transported by the vehicle. The target location can be read from the operating parameters. The method for extracting the target location is selected by the staff according to the actual situation, and will not be elaborated here.

[0036] Step 103: Determine the travel time in response to the target location.

[0037] Driving time refers to the minimum time required for a vehicle to travel to its target location. The driving time corresponding to the target location can be matched from the vehicle's navigation system. The method for determining the driving time is common knowledge to those in the field and will not be elaborated here.

[0038] Step 104: When the cooling time is less than the driving time, retrieve the driving position from the operating parameters.

[0039] A cooling time shorter than the driving time means that the vehicle refrigerator cannot provide stable cooling capacity before reaching the target location, which means that insufficient refrigerant needs to be added. The driving location refers to the location of the vehicle when the refrigerant is insufficient. The driving location can be read from the operating parameters. The method of retrieving the driving location is selected by the staff according to the actual situation, which will not be elaborated here.

[0040] Step 105: Determine the resupply distance based on the driving position, and determine the refrigeration distance based on the refrigeration duration.

[0041] The refueling distance refers to the distance to the nearest refrigerant refueling point from the driving position. The nearest refrigerant refueling point can be found in the refrigerant refueling table, and then the distance between the refrigerant refueling point and the driving position can be calculated as the refueling distance. The refrigerant refueling table is a data table that records different refrigerant refueling points and their corresponding refrigerant locations.

[0042] Refrigeration distance refers to the farthest distance a vehicle can travel within the refrigeration period. The longer the refrigeration period, the greater the refrigeration distance. You can look up the refrigeration distance corresponding to the refrigeration period in the distance correspondence table.

[0043] Step 106: If the supply distance is less than the refrigeration distance, determine the supply route based on the supply distance.

[0044] A refueling distance shorter than a refrigeration distance means that the vehicle's refrigerator can provide stable cooling capacity before the vehicle arrives at the refrigerant refueling point. The refueling route refers to the route the vehicle takes to reach the refrigerant refueling point. The refueling route can be generated from the vehicle's navigation system. The method for generating the refueling route is common knowledge to those skilled in the art and will not be elaborated here.

[0045] Step 107: In response to the generation of the supply route, display a cooling supply prompt.

[0046] Cooling replenishment prompts refer to information that the cooling capacity is insufficient and display replenishment routes. The method for generating cooling replenishment prompts is common knowledge to those in the field and will not be elaborated here.

[0047] The system collects operating parameters in real time and extracts the amount of remaining refrigerant. It then combines this with the target location to determine whether the refrigeration capacity meets transportation requirements. When the refrigeration capacity is insufficient, the system retrieves the current driving location from the operating parameters, plans the nearest refueling route, and displays it to the driver, thereby improving the stability of the refrigeration system.

[0048] An IoT control method based on a refrigeration system further includes: Step 108: Extract the cooling power from the operating parameters.

[0049] Cooling power refers to the remaining power supply for the vehicle refrigerator. It can be read from the operating parameters. The method for extracting cooling power is selected by the staff according to the actual situation, and will not be elaborated here.

[0050] Step 109: Determine the power supply duration based on the cooling power consumption.

[0051] Power supply duration refers to the maximum duration for which the vehicle refrigerator can provide stable cooling capacity under the current cooling load. The larger the cooling power and the smaller the cooling load, the longer the power supply duration. The power supply duration corresponding to the cooling power and cooling load can be found in the power supply correspondence table. The power supply correspondence table is a data table that records different cooling power and cooling load and their corresponding power supply duration.

[0052] Step 110: When the power supply duration is less than the cooling duration, update the cooling duration according to the power supply duration, and retrieve the power supply location according to the driving location.

[0053] If the power supply duration is less than the cooling duration, it means that the battery level of the car refrigerator is more severely insufficient and needs to be replenished first. The power supply location refers to the location of the nearest power supply point to the driving location. The power supply location corresponding to the driving location can be found in the power supply table, which is a data table that records different power supply points and their corresponding power supply locations.

[0054] Step 111: Update the resupply distance based on the driving position and power supply position.

[0055] The system extracts the refrigeration power from the operating parameters in real time, and then combines this with the target location to determine whether the power supply capacity meets the transportation requirements. This allows for the integration of refrigerant and power replenishment needs to optimize the replenishment route, thereby improving the stability of the refrigeration system operation.

[0056] An IoT control method based on a refrigeration system further includes: Step 112: When the cooling time is less than the driving time, determine the candidate area by combining the driving position and the refrigeration distance, and determine the resupply type based on the cooling time.

[0057] The candidate area refers to the range that the vehicle can travel before the current refrigeration resources can provide stable refrigeration capacity. That is, the circular area formed by the driving position as the center and the refrigeration distance as the radius is used as the candidate area.

[0058] The type of replenishment refers to the type of refrigeration resource that is insufficient, namely, electricity or refrigerant. The method for determining the type of replenishment is selected by the staff based on the actual situation, and will not be elaborated here.

[0059] Step 113: Determine the candidate location from the candidate area based on the supply type.

[0060] The candidate location refers to the location of the supply point within the candidate area. The corresponding supply table can be retrieved according to the supply type, and then the candidate location corresponding to the candidate area can be found from the supply table. For example, when the supply type is refrigerant, the candidate location can be found from the refrigeration supply table.

[0061] Step 114: Determine the transportation route by combining the driving position, candidate position and target position.

[0062] A transportation route refers to the complete route a vehicle takes from its driving location to its destination after replenishing cooling resources. Transportation routes can be generated from the vehicle's navigation system. The method for generating transportation routes is common knowledge to those skilled in the art and will not be elaborated here.

[0063] Step 115: Determine the transportation distance based on the transportation route.

[0064] Transportation distance refers to the length of different transportation routes. The method for determining transportation distance is common knowledge among those in the field and will not be elaborated here.

[0065] Step 116: Update the supply route based on the transport distance.

[0066] When the vehicle's cooling resources are insufficient, all candidate locations that can replenish cooling resources before the vehicle loses its cooling capacity are selected based on the remaining cooling resources. This allows for the planning of transportation routes through different candidate locations, and the shortest transportation route is selected and displayed to the driver, thereby improving the stability of the cooling system's operation.

[0067] Reference Figure 2 Resource replenishment methods include: Step 200: When the cooling time is less than the travel time, determine the travel demand and cooling inventory based on the transport distance and resupply type.

[0068] Trip demand refers to the minimum total amount of refrigeration resources required to complete a transportation route, i.e., the volume of refrigerant or the amount of electricity. The greater the transportation distance, the greater the trip demand. The trip demand corresponding to the transportation distance and the type of resupply can be found in the demand mapping table. The demand mapping table is a data table that records different transportation distances and resupply types and their corresponding trip demands. Refrigeration inventory refers to the total amount of existing refrigeration resources on the vehicle, i.e., the amount of refrigerant or the amount of electricity. The method for determining the refrigeration inventory is selected by the staff according to the actual situation, and will not be elaborated here.

[0069] Step 201: Calculate the difference between the travel demand and the refrigeration inventory, define it as the supplementary demand, and retrieve the candidate inventory based on the candidate location.

[0070] Supplemental demand refers to the total amount of additional cooling resources required for the vehicle. The calculation method for supplemental demand is selected by the staff based on the actual situation and will not be elaborated here.

[0071] The available stock refers to the total amount of refrigeration resources stored in the candidate locations. The available stock corresponding to the candidate locations and supply types can be found in the reserve record table. The reserve record table is a data table that records different candidate locations and supply types and their corresponding available stock. The data in the reserve record table is updated in real time by each supply point through Internet of Things technology.

[0072] Step 202: If the replenishment demand is greater than the available stock, determine the location of the shortage based on the transportation distance.

[0073] If the replenishment demand exceeds the available stock, it means that the refrigeration resources at the replenishment point are insufficient to support the vehicle in completing the transportation route. The missing location is the candidate location with insufficient refrigeration resources. The method for determining the missing location is selected by the staff based on the actual situation, and will not be elaborated here.

[0074] Step 203: Update the candidate location in response to the defect location.

[0075] Different resupply points have different refrigeration resource reserves. By retrieving the reserve of refrigeration resources stored at different candidate locations, candidate locations with insufficient reserves to support vehicle transportation can be eliminated, thereby improving the accuracy of vehicle resupply route planning.

[0076] Resource replenishment methods also include: Step 204: Determine the number of candidates based on the candidate positions.

[0077] The number of candidates refers to the total number of available positions. The method for determining the number of candidates is selected by the staff based on the actual situation, and will not be elaborated here.

[0078] Step 205: When the number of candidates is equal to 0, the consumption demand is determined in response to the supply distance, and the supply location is determined based on the supply route.

[0079] A candidate quantity of 0 means there are no available supply point locations, indicating that the refrigeration resources stored at each candidate location are insufficient to support the vehicle in completing the transportation route. Consumption demand refers to the total amount of refrigeration resources required for the vehicle to reach the nearest supply point. The supply time corresponding to the supply distance can be found in the distance correspondence table. The supply correspondence table can be retrieved according to the supply type. Then, the consumption demand corresponding to the supply time and refrigeration load can be found in the supply correspondence table. When the supply type is electricity, the supply correspondence table is the power supply correspondence table. When the supply type is refrigerant, the supply correspondence table is the refrigeration correspondence table.

[0080] The resupply location refers to the location of the nearest resupply point to the driving position, that is, the end point of the resupply route. The method for determining the resupply location is common knowledge to those in the field and will not be elaborated here.

[0081] Step 206: Retrieve the supply stock according to the supply location.

[0082] The replenishment stock refers to the total amount of refrigeration resources stored at the replenishment location. The replenishment stock corresponding to the replenishment location and replenishment type can be found in the reserve record table.

[0083] Step 207: Determine the remaining stock by combining the refrigeration stock, consumption demand, and replenishment stock.

[0084] The remaining stock refers to the total amount of refrigeration resources remaining after the vehicle arrives at the resupply location and is resupplyed. That is, remaining stock = refrigeration stock - consumption demand + resupply stock. The calculation method for remaining stock is selected by the staff according to the actual situation, and will not be elaborated here.

[0085] Step 208: Determine the remaining distance in response to the remaining stock.

[0086] The remaining distance refers to the farthest distance a vehicle can travel at a resupply location with its remaining stock. The remaining stock and the remaining time corresponding to the cooling load can be found in the resupply correspondence table, and the remaining distance corresponding to the remaining time can be found in the distance correspondence table. The circular area formed with the resupply location as the center and the remaining distance as the radius is used as the new candidate area.

[0087] Step 209: Update the candidate area based on the supply location and remaining distance.

[0088] When the available stock is insufficient for the vehicle to complete the transport, the vehicle is controlled to proceed to multiple nearest supply points in sequence until the refrigeration resources are sufficient. This allows the refrigeration resources from multiple supply points to be mobilized to support the vehicle in completing the transport, thereby improving the stability of the refrigeration system operation.

[0089] Resource replenishment methods also include: Step 210: When the number of candidates is equal to 0, determine the driving route by combining the driving position and the target position.

[0090] A driving route refers to the shortest route a vehicle takes from its current location to its destination without resupply. Driving routes can be generated from the vehicle's navigation system. The method for determining driving routes is common knowledge to those in the field and will not be elaborated here.

[0091] Step 211: Compare the location of the defect with the driving route to determine the route distance.

[0092] Route distance refers to the minimum distance between each damaged location and the driving route. The route distance can be determined from the vehicle's navigation system. The method for determining the route distance is common knowledge to those in the field and will not be elaborated here.

[0093] Step 212: Determine the score by combining the route distance and the number of candidate items.

[0094] The rating refers to the numerical value used to evaluate each defect location. The smaller the route distance and the larger the candidate stock, the better the defect location and the higher the rating. The rating can be found in the rating correspondence table, which is a data table that records different route distances, candidate stock and their corresponding ratings.

[0095] Step 213: In response to the selected location after scoring.

[0096] The location passed through is the defect location with the highest score. The method for determining the location is selected by the staff based on the actual situation, and will not be elaborated here.

[0097] Step 214: Update the supply location based on the passed location.

[0098] When the available stock is insufficient for the vehicle to complete the transport, the distance between each candidate location and the vehicle's route when it is not refueled is calculated. This allows the location with the shortest route distance and the largest available stock to be selected. In this way, the vehicle receives sufficient cooling resources while reducing the deviation between the refueling route and the driving route, thus improving the accuracy of the vehicle refueling route planning.

[0099] Reference Figure 3 Coordinated supply methods include: Step 300: Determine the route by combining the driving position, the passed position, the candidate position and the target position.

[0100] The route refers to the route by which a vehicle passes through the driving position, the passing position, the candidate position and the target position in sequence to replenish cooling resources. The route can be generated by the vehicle's navigation system. The method of generating the route is common knowledge to those in the field and will not be described in detail here.

[0101] Step 301: Determine the distance traveled based on the route taken, and determine the driving distance based on the driving route.

[0102] The distance traveled refers to the total length of the route traversed, which can be read from the vehicle's navigation system. The method for determining the distance traveled is common knowledge to those in the field and will not be elaborated here.

[0103] Driving distance refers to the total length of the driving route. The driving distance can be read from the vehicle's navigation system. The method for determining the driving distance is common knowledge to those in the field and will not be elaborated here.

[0104] Step 302: Calculate the difference between the distance traveled and the distance traveled, and define it as the additional distance.

[0105] Extra distance refers to the additional distance the vehicle travels to replenish cooling resources. The calculation method for extra distance is selected by the staff based on the actual situation and will not be elaborated here.

[0106] Step 303: Determine an additional duration in response to the additional distance, and determine a delay threshold based on the travel distance.

[0107] Extra time refers to the extra time a vehicle travels to replenish cooling resources. The extra time corresponding to the extra distance can be found in the distance correspondence table.

[0108] The delay threshold refers to the maximum allowed delay time for a vehicle. The greater the travel distance, the higher the delay threshold. The delay threshold corresponding to the travel distance can be found in the delay correspondence table, which is a data table that records different travel distances and their corresponding delay thresholds.

[0109] Step 304: When the additional duration exceeds the delay threshold, generate and display a transportation delay prompt based on the additional duration.

[0110] Additional time exceeding the delay threshold indicates that the vehicle is delayed in order to replenish cooling resources. The transportation delay alert is the data that shows the delay situation to the driver. The method for generating the transportation delay alert is common knowledge to those in the field and will not be described in detail here.

[0111] When vehicles travel to resupply points, it can easily lead to increased transport time. By planning the resupply route based on the past locations and potential locations, the increased delay time can be calculated by comparing it with the actual travel route. If the delay time is too long, the driver can be notified in a timely manner, thereby improving the accuracy of vehicle resupply route planning.

[0112] Coordinated supply methods also include: Step 305: When the additional duration exceeds the delay threshold, extract the travel time from the operating parameters.

[0113] The driving time refers to the time when the vehicle's cooling resources are insufficient. The driving time can be read from the operating parameters. The method for determining the driving time is selected by the staff according to the actual situation, which will not be elaborated here.

[0114] Step 306: Determine the transit time by combining the travel time, travel location, and transit location.

[0115] The transit time refers to the time when a vehicle arrives at a location it has passed through. The distance between the driving position and the location it has passed through, as well as the distance between the passing position and the location it has passed through, can be calculated by combining the driving position and the location it has passed through. Then, the location duration corresponding to the location distance can be found from the distance correspondence table. The sum of the driving time and the location duration can then be calculated as the transit time.

[0116] Step 307: Determine the vehicle number in response to the travel time, transit time, and transit location.

[0117] The vehicle number refers to the number of the vehicle that stops at the location it passes between the departure time and the arrival time. The vehicle number corresponding to the departure time, arrival time and location can be found in the stop record table. The stop record table is a data table that records different locations passed and vehicle numbers and their corresponding stop times. The data in the stop record table is updated in real time by each supply point through Internet of Things technology.

[0118] Step 308: Determine the surplus stock based on the supply type and vehicle number.

[0119] Surplus stock refers to the total amount of surplus cooling resources on the vehicle corresponding to the vehicle number, that is, the total amount of cooling resources remaining after the vehicle arrives at the target location. The surplus stock corresponding to the supply type and vehicle number can be found in the surplus correspondence table. The surplus correspondence table is a data table that records different supply types and vehicle numbers and their corresponding surplus stock. The surplus stock in the surplus correspondence table can be obtained by calculating the difference between the cooling stock of different vehicles and the travel demand.

[0120] Step 309: Update the candidate inventory based on the surplus inventory and the location.

[0121] When the delay time is too long, the vehicle numbers that stopped at the location before the vehicle arrived at the location are retrieved, and the surplus stock of each vehicle number is retrieved to supplement the candidate stock, thereby improving the efficiency of refrigeration resource replenishment.

[0122] Coordinated supply methods also include: Step 310: When the additional duration exceeds the delay threshold, determine the delay distance based on the delay threshold.

[0123] Delay distance refers to the maximum distance a vehicle can travel without delay. The timely distance corresponding to the delay threshold can be found in the distance correspondence table, and then the sum of the timely distance and the traveled distance is calculated as the delay distance.

[0124] Step 311: Determine the timely route by combining the aforementioned delay distance and the route taken.

[0125] A timely route is a route whose length is exactly less than the delay distance. That is, a route whose length is less than the delay distance by deleting some passing points. This can be achieved by exhaustively generating routes after deleting different passing points, and then selecting the route that is less than the delay distance and closest to the delay distance as the timely route.

[0126] Step 312: Compare the real-time route and the route taken to determine the real-time location and the ignored location.

[0127] "Timely location" refers to the location passed through in the timely route, while "ignored location" refers to the location passed through that was deleted from the timely route. The method for determining timely location and ignored location is selected by the staff based on the actual situation, and will not be elaborated here.

[0128] Step 313: Determine the amount of inventory to be ignored based on the ignored position.

[0129] Ignoring inventory refers to the total amount of refrigeration resources that are missing after replenishment according to the timely route. It can retrieve the candidate inventory at different ignore locations and then calculate the sum of the candidate inventory as the ignored inventory.

[0130] Step 314: Determine the collaboration radius based on the ignored inventory, and determine the collaboration range by combining the timely location and the collaboration radius.

[0131] The coordination radius refers to the radius of the range of refrigeration resources that can be requisitioned. The larger the ignored inventory, the larger the coordination radius. The coordination radius corresponding to the ignored inventory can be found in the coordination correspondence table, which is a data table that records different ignored inventory and their corresponding coordination radii.

[0132] The scope of coordination refers to the range within which refrigeration resources are mobilized, that is, the circular area formed by taking the location as the center and the coordination radius as the radius.

[0133] Step 315: Determine the collaboration number in response to the collaboration range, travel time, and transit time.

[0134] The coordination number refers to the vehicle number that passes through the coordination range between the travel time and the transit time. The coordination number corresponding to the coordination range, travel time and transit time can be found from the location correspondence table. The location correspondence table is a data table that records different vehicle numbers, vehicle locations and their corresponding vehicle times. The data in the location correspondence table is updated in real time by each vehicle through Internet of Things technology.

[0135] Step 316: Determine the delay duration based on the coordination number and the timely location, and determine the surplus duration based on the coordination number.

[0136] The delay duration refers to the time required for a vehicle with a co-location number to reach its timely location. The delay duration can be determined from the vehicle's navigation system. The method for determining the delay duration is common knowledge to those in the field and will not be elaborated here.

[0137] Surplus time refers to the maximum delay that a vehicle corresponding to a coordination number can make by traveling along the original route. The surplus time corresponding to a coordination number can be read from the surplus time table, which is a data table that records different coordination numbers and their corresponding surplus times.

[0138] Step 317: If the delay duration is less than the surplus duration, determine the collaborative stock in response to the collaborative number.

[0139] A delay duration shorter than the surplus duration means that the vehicle corresponding to the collaboration number can reach the timely location without affecting its own transportation task. The collaboration stock refers to the total amount of surplus refrigeration resources on the vehicle corresponding to the collaboration number. The supply type and the collaboration stock corresponding to the collaboration number can be found in the surplus correspondence table.

[0140] Step 318: Generate and send a collaborative replenishment command based on the collaborative stock and the ignored stock.

[0141] A coordinated resupply command is an instruction that controls a vehicle with a coordinated number to proceed to the timely location and recharges the resupply point with the coordinated reserve of cooling resources until the coordinated reserve is greater than the negligible reserve. The method for generating coordinated resupply commands is common knowledge to those skilled in the art and will not be elaborated here.

[0142] When the delay time is too long, the maximum delay distance that the vehicle would travel if it were just not delayed is predicted based on the delay time. Then, a timely route with a distance just less than the delay distance is planned based on the location passed through. Then, vehicles around the timely location passed through on the timely route are called to the timely location to replenish the cooling resources in the timely location and improve the efficiency of cooling resource replenishment.

[0143] Based on the same inventive concept, embodiments of the present invention provide an Internet of Things (IoT) control system based on a refrigeration system, comprising: The data acquisition module is used to collect operating parameters; A memory for storing the program of any of the above-mentioned IoT control methods based on a refrigeration system; The processor is the unit of memory that allows programs to be loaded and executed by the processor.

[0144] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0145] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. An Internet of Things (IoT) control method based on a refrigeration system, characterized in that, include: Step 100: Collect operating parameters; Step 101: Extract the cooling load and cooling dose from the operating parameters; Step 102: Determine the cooling duration based on the cooling load and cooling dose, and determine the target location from the operating parameters; Step 103: Determine the travel time in response to the target location; Step 104: When the cooling time is less than the driving time, retrieve the driving position from the operating parameters; Step 105: Determine the resupply distance based on the driving position, and determine the refrigeration distance based on the refrigeration duration; Step 106: If the supply distance is less than the refrigeration distance, determine the supply route based on the supply distance; Step 107: In response to the generation of the supply route, display a cooling supply prompt; Also includes: Step 112: When the cooling time is less than the driving time, determine the candidate area by combining the driving position and the refrigeration distance, and determine the supply type based on the cooling time; Step 113: Determine candidate locations from the candidate areas based on the supply type; Step 114: Determine the transportation route by combining the driving position, candidate position, and target position; Step 115: Determine the transportation distance based on the transportation route; Step 116: Update the supply route based on the transport distance.

2. The IoT control method based on a refrigeration system according to claim 1, characterized in that, Also includes: Step 108: Extract the cooling power from the operating parameters; Step 109: Determine the power supply duration based on the cooling power consumption; Step 110: When the power supply duration is less than the cooling duration, update the cooling duration according to the power supply duration, and retrieve the power supply location according to the driving location; Step 111: Update the resupply distance based on the driving position and power supply position.

3. The IoT control method based on a refrigeration system according to claim 2, characterized in that, It also includes a resource replenishment method, which includes: Step 200: When the cooling time is less than the travel time, determine the travel demand and cooling stock based on the transport distance and resupply type; Step 201: Calculate the difference between the travel demand and the refrigeration inventory, define it as the supplementary demand, and retrieve the candidate inventory based on the candidate location; Step 202: If the replenishment demand is greater than the available stock, determine the location of the shortage based on the transportation distance; Step 203: Update the candidate location in response to the defect location.

4. The IoT control method based on a refrigeration system according to claim 3, characterized in that, The resource replenishment method also includes: Step 204: Determine the number of candidates based on the candidate positions; Step 205: When the number of candidates is equal to 0, determine the consumption demand in response to the supply distance, and determine the supply location based on the supply route; Step 206: Retrieve the supply stock according to the supply location; Step 207: Determine the remaining stock by combining the aforementioned refrigeration stock, consumption demand, and replenishment stock; Step 208: Determine the remaining distance in response to the remaining stock; Step 209: Update the candidate area based on the supply location and remaining distance.

5. The IoT control method based on a refrigeration system according to claim 4, characterized in that, The resource replenishment method also includes: Step 210: When the number of candidates is equal to 0, determine the driving route by combining the driving position and the target position; Step 211: Determine the route distance by comparing the location of the defect with the driving route; Step 212: Determine the score based on the route distance and the available inventory; Step 213: In response to the score, select the passed position; Step 214: Update the supply location based on the passed location.

6. The IoT control method based on a refrigeration system according to claim 5, characterized in that, It also includes a coordinated supply method, which includes: Step 300: Determine the route by combining the driving position, the passed position, the candidate position and the target position; Step 301: Determine the distance traveled based on the route taken, and determine the travel distance based on the driving route; Step 302: Calculate the difference between the distance traveled and the distance traveled, and define it as the additional distance; Step 303: Determine additional time in response to the additional distance, and determine a delay threshold based on the travel distance; Step 304: When the additional duration exceeds the delay threshold, generate and display a transportation delay prompt based on the additional duration.

7. The IoT control method based on a refrigeration system according to claim 6, characterized in that, The coordinated supply method further includes: Step 305: When the additional duration exceeds the delay threshold, extract the travel time from the operating parameters; Step 306: Determine the elapsed time by combining the travel time, travel location, and passed location; Step 307: Determine the vehicle number in response to the travel time, arrival time, and arrival location; Step 308: Determine the surplus stock based on the supply type and vehicle number; Step 309: Update the candidate inventory based on the surplus inventory and the location.

8. The IoT control method based on a refrigeration system according to claim 7, characterized in that, The coordinated supply method further includes: Step 310: When the additional duration exceeds the delay threshold, determine the delay distance based on the delay threshold; Step 311: Determine the timely route by combining the aforementioned delay distance and the route taken; Step 312: Compare the real-time route and the route taken to determine the real-time location and the ignored location; Step 313: Determine the amount of inventory to be ignored based on the ignored positions; Step 314: Determine the collaboration radius based on the ignored inventory, and determine the collaboration range by combining the timely location and the collaboration radius; Step 315: Determine the cooperation number in response to the cooperation range, travel time, and transit time; Step 316: Determine the delay duration based on the coordination number and the timely location, and determine the surplus duration based on the coordination number; Step 317: If the delay duration is less than the surplus duration, determine the collaborative stock in response to the collaborative number; Step 318: Generate and send a collaborative replenishment command based on the collaborative stock and the ignored stock.

9. An Internet of Things (IoT) control system based on a refrigeration system, characterized in that, include: The data acquisition module is used to collect operating parameters; A memory for storing a program of an Internet of Things control method based on a refrigeration system as described in any one of claims 1 to 8; The processor is the unit of memory that allows programs to be loaded and executed by the processor.

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