CN113762711A - Intelligent cold-chain logistics optimal scheduling method - Google Patents
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Abstract
The invention belongs to the field of cold-chain logistics, and relates to a smart cold-chain logistics optimal scheduling method, which integrates a GPS (global positioning system), a TMS (transportation management system), a CRM (customer management system) and a wing-flying system, and aims to create smart cold-chain logistics by applying modern information technologies (a satellite positioning technology, a wireless network transmission technology, a geographic information management technology, a cloud storage technology, a logistics vehicle networking technology, an Internet of things technology and the like), so that the problem of visual, controllable and controllable logistics transportation links is solved, and the intelligent cold-chain logistics is finally displayed on a logistics public platform, so that logistics information is shared and interacted in the whole course of the logistics industry, and visual management is realized.
Description
Technical Field
The invention belongs to the field of cold-chain logistics, and particularly relates to an intelligent cold-chain logistics optimal scheduling technology.
Background
The information in this background section is only for enhancement of understanding of the general background of the invention and is not necessarily to be construed as an admission or any form of suggestion that this information forms the prior art that is already known to a person of ordinary skill in the art.
The waste of Chinese due to the discarding of rotten food reaches 700 billion yuan per year, which accounts for 20% of the total value of food production. Some foods are discarded during transportation because they cannot be kept fresh for a long time. Experts call this waste phenomenon mainly due to the lack of a "cold chain transport" system. In the transportation of fresh and alive perishable goods, except for a few parts of the death caused by the career or the discomfort of vehicles in the way, most of the death is caused by the occurrence of decay, and for animal food, the action of microorganisms is mainly used. In the case of vegetable foods, the cause of spoilage is primarily due to respiration. The reason for the decay and the deterioration of the fresh and alive perishable goods is clear, so that the purposes of inhibiting the growth of microorganisms and slowing down the respiration at low temperature and prolonging the preservation practice of the fresh and alive and perishable goods can be achieved.
The cold chain transportation process must rely on special vehicles such as freezing or refrigeration to carry out, and freezing or refrigeration and heat preservation equipment must be additionally arranged on the special vehicles for freezing or refrigeration except that the special vehicles for freezing or refrigeration need to have the same vehicle body and machinery of a truck. Special care must be taken during transport to ensure continuous refrigeration, since microbial activity and respiration are enhanced with increasing temperature, and if continuous refrigeration conditions are not guaranteed in each transport segment, the cargo may begin to decay and deteriorate in that segment. At the time of transportation, a transportation method should be determined according to the kind of goods, a transportation season, a transportation distance, and a transportation place. During the transportation process, the door-to-door direct transportation is organized as much as possible, the transportation speed is increased, and the temperature is required to meet the regulations. In order to keep the refrigeration temperature of frozen goods, the goods which need ventilation and heat dissipation, such as fruits, vegetables and the like, can be tightly stacked, a certain gap must be reserved between goods to ensure the good condition of the goods.
However, in the existing cold chain transportation process, the management and scheduling of the running conditions of the vehicles are still not in place, the damage of goods or transportation overtime are often caused due to the abnormal running state, and the timeliness and accuracy of logistics transportation efficiency, management and scheduling are still to be improved.
Disclosure of Invention
In order to overcome the problems, the invention provides an intelligent cold-chain logistics optimization scheduling technology, which integrates a GPS (global positioning system), a TMS (transportation resource management) system, a CRM (customer management system) and a wing-flying system, and aims to create intelligent cold-chain logistics by applying modern information technologies (a satellite positioning technology, a wireless network transmission technology, a geographic information management technology, a cloud storage technology, a logistics vehicle networking technology, an Internet of things technology and the like), so that the problem of visual, controllable and controllable logistics transportation links is solved, and the intelligent cold-chain logistics information is finally displayed on a logistics public platform, so that logistics information is shared and interacted in the whole course of the logistics industry, and visual management is realized.
In order to achieve the technical purpose, the invention adopts the following technical scheme:
the invention provides an intelligent cold-chain logistics optimization scheduling method, which comprises the following steps:
acquiring the position and speed of all vehicles in the platform and the temperature and humidity information in a cargo compartment in real time to form vehicle operation data;
calculating the parking time of the vehicle according to the vehicle operation data;
comparing the speed, the parking time, the running track, the temperature and the humidity of the vehicle with set values respectively, and if any index exceeds the range of a preset value, sending an alarm to a mobile client of a vehicle driver, a mobile client of a manager and a mobile client of a client;
according to the alarm condition, the vehicle state is adjusted to enable the vehicle running state to meet the requirement of a set value;
meanwhile, the running data of the vehicle is sent to the mobile client and the online query platform of the client at regular time.
In a second aspect of the present invention, an intelligent cold-chain logistics optimal scheduling system is provided, including:
the module is used for acquiring the position and speed of all vehicles in the platform and the temperature and humidity information in the cargo compartment in real time to form vehicle operation data;
a module for calculating a parking time of the vehicle according to the vehicle operation data;
a module for comparing the speed, parking time and running track of the vehicle, temperature and humidity with set values respectively, and sending an alarm to a mobile client of a vehicle driver, a mobile client of a manager and a mobile client of a client if any index exceeds the range of a preset value;
a module for adjusting the vehicle state according to the alarm condition to make the vehicle running state meet the requirement of a set value;
and the module is used for sending the running data of the vehicle to the mobile client of the client and the online query platform regularly.
In a third aspect of the present invention, there is provided an electronic device comprising: comprising a memory and a processor and computer instructions stored on the memory and executed on the processor, wherein the computer instructions, when executed by the processor, perform the steps of the above method.
In a fourth aspect of the present invention, a computer-readable storage medium is provided, which is characterized by storing computer instructions, and when the computer instructions are executed by a processor, the steps of the method are completed.
The invention has the beneficial effects that:
(1) under normal conditions, temperature and humidity recording information can be regularly sent to a monitoring center through GPRS (general packet radio service) so as to meet the requirement of realizing a software monitoring function. And dynamically judging whether the alarm condition occurs or not according to the set upper and lower limits of the temperature and the humidity. And automatically giving a short message alarm once the alarm exceeds the set range. The alarm information can be sent to two set mobile phone numbers at the same time. And (3) data dynamic recording: over 10 thousand pieces of data can be recorded. And repeating the coverage recording after the storage is finished. And (3) dynamic display: the dynamic display of the temperature and the humidity can be completed on the display screen. And GPRS data transmission: and completing the dynamic transmission of the temperature and humidity data to the monitoring center. GSM: short message alarm: if the temperature and the humidity are abnormal, the equipment sends a short message to the appointed mobile phone number through the short message.
At present, the system uses a refrigeration house temperature control wireless monitoring device in part of operation units, and a GPS wireless transmission temperature monitor is installed on part of cold chain transport vehicles. The system can more conveniently centralize and uniformly manage and control the temperature of the cold chain transportation equipment with multiple areas, realize wireless acquisition, record temperature change in real time, automatically generate a temperature curve graph, start and stop curves of the equipment, and realize functions of printing, data output, over-temperature alarm and the like.
(2) The vehicle condition monitoring system can timely adjust the condition of the vehicle through visual management, greatly improves the running efficiency of the vehicle, and is simple in operation method, convenient to use and high in practicability.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a flow chart of example 1 of the present invention.
FIG. 2 is a GPS/GIS location service diagram of embodiment 1 of the present invention;
FIG. 3 is a vehicle positioning information map according to embodiment 1 of the present invention;
FIG. 4 is a temperature profile plot for example 1 of the present invention;
FIG. 5 is a diagram of short message warning of temperature anomaly in embodiment 1 of the present invention;
fig. 6 is a schematic diagram of alarm monitoring in embodiment 1 of the present invention.
Detailed Description
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
An intelligent cold-chain logistics optimal scheduling method comprises the following steps:
acquiring the position and speed of all vehicles in the platform and the temperature and humidity information in a cargo compartment in real time to form vehicle operation data;
calculating the parking time and the running track of the vehicle according to the vehicle running data;
comparing the speed, the parking time, the running track, the temperature and the humidity of the vehicle with set values respectively, and if any index exceeds the range of a preset value, sending an alarm to a mobile client of a vehicle driver, a mobile client of a manager and a mobile client of a client;
according to the alarm condition, the vehicle state is adjusted to enable the vehicle running state to meet the requirement of a set value;
meanwhile, the running data of the vehicle is sent to the mobile client and the online query platform of the client at regular time.
During the actual transportation process, due to the high speedThe condition of large-area traffic jam often appears due to factors such as large traffic flow, multiple accidents and the like, at the moment, the running speed data of the vehicle may exceed a preset threshold value, the parking condition is often misjudged, an error alarm is sent out, and the accuracy of the alarm is not high. Therefore, in order to reduce the misjudgment rate and improve the accuracy of the alarm, in some embodiments, when the vehicle running speed exceeds a preset speed threshold, firstly, the position information of the vehicle is compared with the position information of a normal parking point, if the distance between the vehicle and the normal parking point is smaller than a set value, the vehicle is judged to be normally parked, and no alarm is sent out; if the distance between the vehicle and the normal parking point is larger than a set value, firstly, a preset speed threshold value V is adoptedpAND for a time T when the vehicle speed exceeds a preset speed thresholdp"to calculate the preset moving distance SpMeanwhile, recording the actual running distance S of the vehicle at the time when the vehicle speed exceeds the preset speed thresholdrSetting the ratio M to Sr/SpThe ratio M is compared with a set ratio threshold value MvComparing, and if the ratio M is larger than the threshold value MvIf the ratio M is smaller than the threshold value M, the vehicle is judged to be in normal running, no alarm is given out, and if the ratio M is smaller than the threshold value MvAnd if the vehicle is judged to be abnormally stopped, the alarm is sent out, so that the misjudgment rate of the alarm in the process of cargo transportation is effectively reduced, the accuracy of the alarm is improved, and the transportation efficiency is improved.
In some embodiments, the time T for the vehicle speed exceeding the preset speed threshold may be determined according to the determination data and the corresponding accuracy rate of the past vehicle recorded in the scheduling system during the actual operation processpThe time length of the vehicle is adjusted to improve the accuracy of the vehicle abnormity judgment, and different time T that the vehicle speed exceeds the preset speed threshold value can be set differently according to different running lines and different running timesp”。
In some embodiments, the set upper and lower temperature and humidity limits are used to dynamically determine whether an alarm condition is present.
In some embodiments, the vehicles are grouped and selected monitoring of a portion of the vehicles is performed.
In some embodiments, the types of alarms are mainly classified as ultra-low temperature alarms, overspeed alarms, fatigue driving alarms.
In some embodiments, 2-4 temperature control sensors are provided in a cargo compartment of a vehicle.
In some embodiments, the method further comprises: and collecting order information and sending the change condition of the order information to a client.
In some embodiments, the method further comprises: and transmitting the order information and the vehicle running condition to an online inquiry platform.
In some embodiments, the method further comprises: collecting delivery information and transportation requirements of a customer service collection client to form order data, and transmitting the order data to a management server through a mobile client of the customer service;
the method comprises the following steps that operators collect information of the position, the container type and the specification of an idle vehicle to form idle vehicle data, and the idle vehicle data are transmitted to a management server through an operator mobile client;
the management server matches the order data with the idle vehicle data to determine a carrying vehicle;
sending order data to a mobile client of an operator;
the operator loads and transports the goods and sends the goods information to the management server.
The present invention is described in further detail below with reference to specific examples, which are intended to be illustrative of the invention and not limiting.
Example 1:
an intelligent cold-chain logistics optimal scheduling method comprises the following steps:
1) acquiring the position and speed of all vehicles in the platform and the temperature and humidity information in a cargo compartment in real time to form vehicle operation data;
all vehicle information in the platform is monitored and tracked in real time by using a GPS/GIS position service device, a temperature sensor and a humidity sensor which are arranged on the vehicle, as shown in figure 2:
when the GPS/GIS position service system selectively monitors all vehicles and key vehicles to monitor the vehicles in the whole group, only the group needs to be selected, then the 'immediate monitoring' button is clicked, the single vehicle is monitored, only the license plate number needs to be input in the 'searching' frame, and then the 'immediate monitoring' button is clicked. And the key vehicle monitoring selects a license plate to be added with key vehicle monitoring in the 'all vehicles' list, and the key vehicle monitoring can be checked in the 'key vehicle' list by right clicking the 'adding key vehicle'. If the vehicle information is to be removed from the key vehicles, only the license plate needs to be selected from the key vehicle list, and then the key vehicles need to be moved.
All positioning information (including relevant information such as a track, GPS time, current time, speed, an area, a road name, a landmark, a driver, an alarm state, a vehicle state, mileage, temperature 1, humidity 2 and the like) of the current vehicle is displayed in the monitoring list. The current vehicle state can be judged by the font display color in the monitoring list (green represents an on-line vehicle, blue represents an off-line vehicle, pink represents a parked and non-flameout vehicle, and red represents an alarm vehicle). As shown in fig. 3:
a. if the "track" in fig. 3 is selected, the driving track of the vehicle will be drawn when the vehicle is positioned.
b. And selecting the license plate number in the monitoring list, so that detailed vehicle information can be checked on the map.
c. By comparing the GPS time with the current time, whether the vehicle normally runs on line can be judged. If the time display of the two is consistent, the vehicle is in an on-line state, otherwise, the vehicle is in an off-line state.
d. The type of the current vehicle can be checked through the alarm status bar (the alarm type is mainly divided into ultra-low temperature alarm, overspeed alarm, fatigue driving alarm and the like).
e. The temperature condition inside the current compartment can be checked through the temperature display bar.
The temperature dynamics records each group of temperature data and expresses the data through a curve, and the data can be immediately expressed on the curve as long as the temperature is abnormal. If the upper limit and the lower limit of the temperature are set to be 24 ℃ to-28 ℃ in the figure 4, whether the temperature meets the requirement in the figure 4 is clear and very intuitive. It should be noted that fig. 4 is a constraint on the ambient temperature of the cargo during transportation by the vehicle, defining the maximum and minimum temperatures. One trolley can be provided with 4 temperature probes at most, and the company vehicle is provided with only two probes, namely temperature 1 and temperature 2 (temperature acquisition equipment for acquiring temperature change in a cargo compartment).
In some embodiments, the operation state of the cooler during transportation can be recorded, and the number of times of starting the cooler in a period of time can be counted by adopting summary. For example: the 5 times of opening are carried out, and detailed records of the 5 times of opening processes, including start-stop time and duration, are recorded in a column 'opening details' in a summary table.
2) Calculating the parking time of the vehicle according to the vehicle operation data;
3) comparing the speed, the parking time, the running track, the temperature and the humidity of the vehicle with set values, and if the speed, the parking time, the running track, the temperature and the humidity of the vehicle exceed the range of the set values, sending an alarm to a mobile client of a vehicle driver, a mobile client of a manager and a mobile client of a client;
4) according to the alarm condition, the vehicle state is adjusted to enable the vehicle running state to meet the requirement of a set value;
meanwhile, the running data of the vehicle is sent to the mobile client (shown in fig. 5) and the online query platform of the client at regular time.
In some embodiments, different alarm types/forms of the vehicle can be selected in the alarm monitoring system, after the monitoring type is selected, the monitoring can be recorded by the system, the alarm can be immediately reminded next time when the monitored vehicle generates the alarm, otherwise, for the monitoring type which is not selected, the system defaults to not display, and even if the alarm occurs at the moment, the system can not remind the vehicle that the alarm is occurring at the moment. As shown in fig. 6:
in the actual transportation process, due to factors such as large high-speed traffic flow, multiple accidents and the like, the situation of large-area traffic jam often occurs, and at the moment, the running speed data of the vehicle may exceed the preset valveAnd the value is often misjudged for the parking condition, a false alarm is sent out, and the accuracy of the alarm is not high. Therefore, in order to reduce the misjudgment rate and improve the accuracy of the alarm, in some embodiments, when the vehicle running speed exceeds a preset speed threshold, firstly, the position information of the vehicle is compared with the position information of a normal parking point, if the distance between the vehicle and the normal parking point is smaller than a set value, the vehicle is judged to be normally parked, and no alarm is sent out; if the distance between the vehicle and the normal parking point is larger than a set value, firstly, a preset speed threshold value V is adoptedpAND for a time T when the vehicle speed exceeds a preset speed thresholdp"to calculate the preset moving distance SpMeanwhile, recording the actual running distance S of the vehicle at the time when the vehicle speed exceeds the preset speed thresholdrSetting the ratio M to Sr/SpThe ratio M is compared with a set ratio threshold value MvComparing, and if the ratio M is larger than the threshold value MvIf the ratio M is smaller than the threshold value M, the vehicle is judged to be in normal running, no alarm is given out, and if the ratio M is smaller than the threshold value MvIf so, judging that the vehicle is abnormally stopped and giving an alarm; through the arrangement, the misjudgment rate of the alarm in the process of cargo transportation is effectively reduced, the accuracy of the alarm is improved, and the transportation efficiency is improved.
In some embodiments, the "time T when the vehicle speed exceeds the preset speed threshold" may be determined according to the determination data and the corresponding accuracy rate of the past vehicle recorded in the system during the actual operation processpThe time length of the vehicle is adjusted to improve the accuracy of the vehicle abnormity judgment, and different time T that the vehicle speed exceeds the preset speed threshold value can be set differently according to different running lines and different running timesp”。
In some embodiments, the method further comprises: and collecting order information and sending the change condition of the order information to a client.
In some embodiments, the method further comprises: and transmitting the order information and the vehicle running condition to an online inquiry platform.
In some embodiments, the method further comprises: collecting delivery information and transportation requirements of a customer service collection client to form order data, and transmitting the order data to a management server through a mobile client of the customer service;
the method comprises the following steps that operators collect information of the position, the container type and the specification of an idle vehicle to form idle vehicle data, and the idle vehicle data are transmitted to a management server through an operator mobile client;
the management server matches the order data with the idle vehicle data to determine a carrying vehicle;
sending order data to a mobile client of an operator;
the operator loads and transports the goods and sends the goods information to the management server.
Example 2
An intelligent cold-chain logistics optimization scheduling system, comprising:
the module is used for acquiring the position and speed of all vehicles in the platform and the temperature and humidity information in the cargo compartment in real time to form vehicle operation data;
a module for calculating a parking time of the vehicle according to the vehicle operation data;
a module for comparing the speed, parking time and running track of the vehicle, temperature and humidity with the set values respectively, and sending an alarm to the mobile client of the vehicle driver, the mobile client of the administrator and the mobile client of the client if one index exceeds the range of the corresponding set value;
a module for adjusting the vehicle state according to the alarm condition to make the vehicle running state meet the requirement of a set value;
and the module is used for sending the running data of the vehicle to the mobile client of the client and the online query platform regularly.
Example 3
An electronic device, comprising: comprising a memory and a processor and computer instructions stored in the memory and executed on the processor, wherein the computer instructions, when executed by the processor, perform the steps of the scheduling method of embodiment 1.
Example 4
A computer readable storage medium storing computer instructions which, when executed by a processor, perform the steps of the scheduling method of embodiment 1.
It should be noted that the above-mentioned embodiments are only preferred embodiments of the present invention, and the present invention is not limited thereto, and although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications and equivalents can be made in the technical solutions described in the foregoing embodiments, or equivalents thereof. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An intelligent cold-chain logistics optimal scheduling method is characterized by comprising the following steps:
acquiring the position and speed of all vehicles in the platform and the temperature and humidity information in a cargo compartment in real time to form vehicle operation data;
calculating the parking time of the vehicle according to the vehicle operation data;
comparing the speed, the parking time, the running track, the temperature and the humidity of the vehicle with set values respectively, and if one index exceeds the range of the corresponding set value, sending an alarm to a mobile client of a vehicle driver, a mobile client of a manager and a mobile client of a client;
according to the alarm condition, the vehicle state is adjusted to enable the vehicle running state to meet the requirement of a set value;
meanwhile, the running data of the vehicle is sent to the mobile client and the online query platform of the client at regular time.
2. The intelligent cold-chain logistics optimal scheduling method of claim 1, wherein when the vehicle running speed exceeds a preset speed threshold, first, the position information of the vehicle is compared with the position information of the normal parking spot, and if the distance between the vehicle and the normal parking spot is less than a set value, the vehicle is determined to be positiveStopping the vehicle frequently without giving an alarm; if the distance between the vehicle and the normal parking point is larger than a set value, firstly, a preset speed threshold value V is adoptedpAND for a time T when the vehicle speed exceeds a preset speed thresholdp"to calculate the preset moving distance SpMeanwhile, recording the actual running distance S of the vehicle at the time when the vehicle speed exceeds the preset speed thresholdrSetting the ratio M to Sr/SpThe ratio M is compared with a set ratio threshold value MvComparing, and if the ratio M is larger than the threshold value MvIf the ratio M is smaller than the threshold value M, the vehicle is judged to be in normal running, no alarm is given out, and if the ratio M is smaller than the threshold value MvIf so, the vehicle is judged to be abnormally stopped, and an alarm is given out.
3. The intelligent cold-chain logistics optimal scheduling method of claim 1 wherein the set upper and lower temperature and humidity limits are used to dynamically determine whether an alarm condition is present.
4. The intelligent cold-chain logistics optimal scheduling method of claim 1, wherein the vehicles are grouped, and selective monitoring is performed on part of the vehicles;
preferably, the alarm types are mainly ultra-low temperature alarm, overspeed alarm and fatigue driving alarm;
preferably, 2-4 temperature control sensors are arranged in a cargo compartment of the vehicle.
5. The intelligent cold-chain logistics optimal scheduling method of claim 1, wherein said method further comprises: and collecting order information and sending the change condition of the order information to a client.
6. The intelligent cold-chain logistics optimal scheduling method of claim 1, wherein said method further comprises: and transmitting the order information and the vehicle running condition to an online inquiry platform.
7. The intelligent cold-chain logistics optimal scheduling method of claim 1, wherein said method further comprises: collecting delivery information and transportation requirements of a customer service collection client to form order data, and transmitting the order data to a management server through a mobile client of the customer service;
the method comprises the following steps that operators collect information of the position, the container type and the specification of an idle vehicle to form idle vehicle data, and the idle vehicle data are transmitted to a management server through an operator mobile client;
the management server matches the order data with the idle vehicle data to determine a carrying vehicle;
sending order data to a mobile client of an operator;
the operator loads and transports the goods and sends the goods information to the management server.
8. The utility model provides an wisdom cold chain logistics optimizes dispatch system which characterized in that includes:
the module is used for acquiring the position and speed of all vehicles in the platform and the temperature and humidity information in the cargo compartment in real time to form vehicle operation data;
a module for calculating a parking time of the vehicle according to the vehicle operation data;
a module for comparing the speed, parking time and running track of the vehicle, temperature and humidity with the set values respectively, and sending an alarm to the mobile client of the vehicle driver, the mobile client of the administrator and the mobile client of the client if one index exceeds the range of the corresponding set value;
a module for adjusting the vehicle state according to the alarm condition to make the vehicle running state meet the requirement of a set value;
and the module is used for sending the running data of the vehicle to the mobile client of the client and the online query platform regularly.
9. An electronic device, comprising: comprising a memory and a processor and computer instructions stored on the memory and executed on the processor, which when executed by the processor, perform the steps of the method of any one of claims 1 to 7.
10. A computer-readable storage medium storing computer instructions which, when executed by a processor, perform the steps of the method of any one of claims 1 to 7.
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| CN116452099A (en) * | 2023-06-13 | 2023-07-18 | 成都运荔枝科技有限公司 | Cold chain food transportation intelligent management system based on big data |
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