Information control device and method of intelligent logistics vehicle

Abstract

The invention discloses an information control device and method of an intelligent logistics vehicle, and belongs to the technical field of information control of logistics vehicles. Maintenance information of an air conditioner module of each logistics vehicle is stored through a maintenance information unit; then, an analysis unit performs analysis according to the information and the maintenance information of the logistics vehicle to confirm whether the logistics vehicle generates an obstacle or not, and when a confirmation value is that the logistics vehicle has the obstacle, an obstacle condition parameter of each air conditioner module with the obstacle is obtained according to a preset mode; according to the obstacle condition parameters, the maintenance sequence arrangement is executed on the air conditioner modules with the obstacles; when a plurality of logistics vehicles are abnormal, a monitor can execute maintenance according to the maintenance sequence according to the obstacle estimation measurement, the logistics vehicles with small obstacle conditions are firstly scheduled to execute renovation, and the overall operation efficiency of the air conditioner modules of the logistics vehicles is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of information control of logistics vehicles, and specifically relates to an information control device and method for an intelligent logistics vehicle. Background Art

[0002] Intelligent logistics vehicles are widely used in the logistics industry. As a production and handling tool, they can ensure that the items are not damaged during the handling process, while ensuring the safety of the monitor. The weight is relatively light, the trolley is beautiful and practical, and has high maneuverability.

[0003] In the intelligent logistics vehicles, the current ones often use the existing technology solutions such as the patent publication number "CN218839125U", which include a central control module and a wireless communication module connected thereto. The central control module is connected to the host computer via the wireless communication module. Based on this, the central control module can transmit the information of the corresponding logistics vehicle to the host computer for display and storage, thereby achieving the monitoring of the intelligent logistics vehicle.

[0004] Specifically, the information of the logistics vehicle may include the temperature inside the unmanned logistics vehicle obtained by the central control module, the cooling capacity and air volume output by the air-conditioning module connected to the central control module and controlled by the central control module. In addition, a timing module may also be provided in the central control module. The timing module is used to calculate the total operating time of the air-conditioning module on the day when the central control module controls the operation of the air-conditioning module. Therefore, the information of the logistics vehicle also includes the total operating time of the air-conditioning module controlled by the central control module on each day.

[0005] On the other hand, the central control module only transmits the information of the corresponding logistics vehicle to the upper computer for display and storage. Its monitoring function for the intelligent logistics vehicle is too simple. With the advancement of intelligence, current technology can often detect the fault status of the air-conditioning module of the logistics vehicle through the information of the logistics vehicle, which expands the monitoring function of the intelligent logistics vehicle. Because there are often many logistics vehicles monitored by a host computer, and the number of maintenance workers is often limited, when the air-conditioning modules of several logistics vehicles malfunction simultaneously, the monitor cannot intuitively find out the degree of failure of the air-conditioning module of the logistics vehicle, and must perform maintenance on the air-conditioning modules of the malfunctioning logistics vehicles one by one, and each repair is randomly selected. If the failure of the air-conditioning module of the logistics vehicle to be repaired first is very complicated, it will be very time-consuming, thus delaying the overall operation efficiency of the air-conditioning module of the logistics vehicle. Summary of the invention

[0006] In order to solve the defects in the prior art, the present invention proposes an information control device and method for an intelligent logistics vehicle, which obtains the specific status of the logistics vehicle by analyzing the specific temperature value change line, specific cooling capacity, specific total operating time and specific air volume of the past pre-set days; then obtains the specific total operating time in the past through a receiving unit to calculate the specific total time; then obtains the failure probability parameter according to the specific total time of the logistics vehicle, the maintenance frequency of the air-conditioning module and the failure parameters of each maintenance; then confirms whether the air-conditioning module of the logistics vehicle has a failure based on the specific status of the logistics vehicle and the failure probability parameter, and when the confirmation value is that there is a failure, obtains the failure status parameter of the air-conditioning module with the failure; the air-conditioning module of the logistics vehicle is centrally confirmed through the specific status and the failure probability parameter, so as to accurately confirm the cause of the abnormality of the air-conditioning module of the logistics vehicle; the air-conditioning module of the logistics vehicle that does not need to be repaired is selected, thereby improving the overall operation efficiency of the air-conditioning module of the logistics vehicle.

[0007] The present invention uses the following technical solutions.

[0008] An information control method for an intelligent logistics vehicle, comprising: The central control module transmits the information of the corresponding logistics vehicle to the upper computer for display and storage; the logistics vehicle information includes the temperature value inside the unmanned logistics vehicle obtained by the central control module, the cooling capacity and air volume output by the air conditioning module connected to it controlled by the central control module, and the total operating time of the air conditioning module controlled by the central control module on each day; When the central control module transmits the corresponding logistics vehicle information to the host computer for display and storage, it also includes: Step 1, receiving and storing the information of the logistics vehicle, and forming a message of the logistics vehicle; Step 2, storing the maintenance information of the air conditioning module of each logistics vehicle; Step 3, perform analysis based on the information of the logistics vehicle and the maintenance information of the air-conditioning module of the logistics vehicle to confirm whether the air-conditioning module of the logistics vehicle has a problem. When the confirmed value is that there is a problem, obtain the problem status parameters of each air-conditioning module with a problem according to a pre-set mode, and arrange the maintenance order of the air-conditioning modules with a problem according to the problem status parameters.

[0009] Furthermore, the pre-set mode for obtaining the obstacle condition parameter includes: Step 3-1, by analyzing the specific temperature change line, specific cooling capacity, specific total operation time and specific air volume of the previous pre-set days, the specific status of the logistics vehicle is obtained; Step 3-2, obtaining the specific total running time of the past period through the receiving unit to calculate the specific total running time; Step 3-3, obtaining the fault probability parameter according to the specific total time of the logistics vehicle, the maintenance frequency of the air conditioning module and the fault parameters of each maintenance; Step 3-4, confirm whether the air conditioning module of the logistics vehicle has an obstacle based on the specific status quantity and the obstacle probability parameter of the logistics vehicle; when the confirmed value is an obstacle, obtain the obstacle status parameter of the air conditioning module with the obstacle.

[0010] Furthermore, the specific temperature value change line of the previously set days is to take the vehicle temperature value of the unmanned logistics vehicle on each of the previously set days received by the host computer and the time point of receiving the vehicle temperature value as the ordinate and abscissa of the rectangular coordinate system, and then use the least squares method to fit the coordinate points formed by the ordinate and abscissa to form a fitting equation as the specific temperature value change line of the logistics vehicle on each of the previously set days; The specific refrigeration capacity of the previously set days is the total amount of refrigeration capacity outputted by the unmanned logistics vehicle on each of the previously set days received by the host computer; The specific total operation time of the previously set days is the total operation time of the air-conditioning module controlled by the central control module on each of the previously set days received by the host computer; The specific air volume for the previously set days is the total amount of air volume outputted from the unmanned logistics vehicle on each of the previously set days received by the host computer.

[0011] Furthermore, the method of obtaining the specific total operation time of the past period via the receiving unit to calculate the specific total time includes: The receiving unit accumulates the specific total operating times of all the previous pre-set days received by it to obtain the specific total time.

[0012] Furthermore, through the equation: Calculate the specific status of the logistics vehicle ; In the equation, P is the number of days set in advance in the past period, ; is the total specific operation time of the air conditioning module on the pth day in the past period; It is the baseline condition quantity of the logistics vehicle; It is the benchmark specific total operation time of the logistics vehicle; It is the reference temperature value line of the reference specific total running time of the logistics vehicle in the reference condition; yes The specific temperature change line of the logistics vehicle; is the specific cooling capacity on the pth day in the past period; It is the benchmark refrigeration capacity of the benchmark specific total operation time of the logistics vehicle in the benchmark condition; The specific wind volume on the pth day in the past period; The base air volume for the base specific total operation time of the logistics vehicle in the base condition; is the normalization factor; is a predefined constant; It is the importance level one; It is the second level of importance; It is the third importance. is the Euler number; Furthermore, the obstacle probability parameter is obtained via the equation: And we get, in the equation, is the obstacle probability parameter; It is the specific total time estimated in advance by the logistics vehicle; It is the specific total time taken by the logistics vehicle; is the predefined maintenance time of the air conditioning module of the logistics vehicle; N is the specific maintenance frequency of the air conditioning module of the logistics vehicle, ; is the obstacle degree parameter of the air conditioning module of the logistics vehicle maintained for the nth time; is the configuration factor one; is configuration factor two; It is the fourth level of importance; It is the fifth importance; is a predefined obstacle parameter, is the Euler number.

[0013] Furthermore, the specific situation and the predefined value , pre-defined value 2 Compare; compare the obstacle probability parameter and the predefined value three Compare; exist When the air conditioning module of the logistics vehicle is accessible; exist When the air conditioning module of the logistics vehicle is accessible; exist When the air conditioning module of the logistics vehicle has a small degree of obstruction; exist When the vehicle was in operation, the air conditioning module of the logistics vehicle completely failed; exist At this time, the air conditioning module of the logistics vehicle has a large degree of failure.

[0014] Furthermore, the obstacle condition parameter It is through the equation Get the obstacle status parameters, is the Euler number; Each air conditioning module with a problem is adjusted according to its problem condition parameters The repairs are carried out in order from small to large.

[0015] An information control device for an intelligent logistics vehicle, comprising: The central control module and the wireless communication module connected to the logistics vehicle are provided on the logistics vehicle. The central control module is connected to the host computer via the wireless communication module. The central control module is used to transmit the information of the corresponding logistics vehicle to the host computer for display and storage. The information of the logistics vehicle includes the temperature value inside the unmanned logistics vehicle obtained by the central control module, the cooling capacity and air volume output by the air conditioning module connected to the unmanned logistics vehicle controlled by the central control module, and the total operation time of the air conditioning module controlled by the central control module on each day. The units running on the host computer include: A receiving unit, which is used to receive and store the information of the logistics vehicle and form a message of the logistics vehicle; A maintenance information unit, which is used to store the maintenance information of the air conditioning module of each logistics vehicle; The parsing unit is communicatively connected with the receiving unit and the maintenance information unit, and is used to perform parsing based on the information of the logistics vehicle and the maintenance information of the air-conditioning module of the logistics vehicle to confirm whether there is a fault in the air-conditioning module of the logistics vehicle. When the confirmation value is that there is a fault, the fault status parameters of each air-conditioning module with a fault are obtained according to a pre-set mode, and the maintenance order of the air-conditioning modules with a fault is arranged according to the fault status parameters.

[0016] Furthermore, the information of the logistics vehicle includes the specific temperature change line of the logistics vehicle today, the specific cooling capacity of the day, the specific total operating time of the day and the specific air volume of the day.

[0017] Furthermore, the specific temperature change line of the logistics vehicle today is to use the vehicle temperature value of the unmanned logistics vehicle today received by the host computer and the time point of receiving the vehicle temperature value as the ordinate and abscissa of the rectangular coordinate system, and then use the least squares method to fit the coordinate points formed by the ordinate and abscissa to form a fitting equation as the specific temperature change line of the logistics vehicle today; The specific refrigeration capacity of the logistics vehicle today is the total amount of refrigeration output in the unmanned logistics vehicle today received by the host computer; The specific total operation time of the logistics vehicle today is the total operation time of the air conditioning module controlled by the central control module today received by the host computer; Today's specific air volume is the total amount of air volume output from the unmanned logistics vehicle today received by the host computer.

[0018] Furthermore, the maintenance information includes the maintenance frequency of the air conditioning equipment of the logistics vehicle and the obstacle parameters of each maintenance.

[0019] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include: The maintenance information of the air-conditioning modules of each logistics vehicle is stored in the maintenance information unit; then, the analysis unit performs analysis based on the information of the logistics vehicle and the maintenance information to confirm whether the logistics vehicle has an obstacle. When the confirmed value is an obstacle, the obstacle status parameters of each air-conditioning module with an obstacle are obtained according to a pre-set mode, and the maintenance order of the air-conditioning modules with obstacles is arranged according to the obstacle status parameters; when several logistics vehicles malfunction, the monitor can perform maintenance in accordance with the maintenance order based on the obstacle estimation value, and first arrange the logistics vehicles with minor obstacles for repair, thereby improving the overall operation efficiency of the air-conditioning modules of the logistics vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is a flow chart of the information control method of the intelligent logistics vehicle described in the present invention; Figure 2 It is a partial structural diagram of the information control device of the intelligent logistics vehicle described in the present invention. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the present invention clearer, the following will be combined with the drawings in the embodiments of the present invention to clearly and completely express the technical solution of the present invention. The embodiments expressed in this application are only some embodiments of the present invention, not all embodiments. According to the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the protection scope of the present invention.

[0022] like Figure 1 As shown, the information control method of an intelligent logistics vehicle described in the present invention includes: The central control module transmits the information of the corresponding logistics vehicle to the upper computer for display and storage, so as to achieve the monitoring of the intelligent logistics vehicle; specifically, the information of the logistics vehicle includes the temperature value inside the unmanned logistics vehicle obtained by the central control module, the cooling capacity and air volume output by the air-conditioning module connected to it controlled by the central control module to the unmanned logistics vehicle, and in addition, a timing module may be provided in the central control module, which is used to count the total operation time of the air-conditioning module on this day when the central control module controls the air-conditioning module to operate. Therefore, the information of the logistics vehicle also includes the total operation time of the air-conditioning module controlled by the central control module on each day; When the central control module transmits the corresponding logistics vehicle information to the host computer for display and storage, it also includes: Step 1, receiving and storing the information of the logistics vehicle, and forming a message of the logistics vehicle; Step 2, storing the maintenance information of the air conditioning module of each logistics vehicle; Step 3, perform analysis based on the information of the logistics vehicle and the maintenance information of the air-conditioning module of the logistics vehicle to confirm whether the air-conditioning module of the logistics vehicle has a problem. When the confirmed value is that there is a problem, obtain the problem status parameters of each air-conditioning module with a problem according to a pre-set mode, and arrange the maintenance order of the air-conditioning modules with a problem according to the problem status parameters.

[0023] In a preferred but non-limiting embodiment of the present invention, the pre-set mode for obtaining the obstacle condition parameter includes: Step 3-1, by analyzing the specific temperature change line, specific cooling capacity, specific total operation time and specific air volume of the past pre-set number of days (the number of days is the number of days), the specific status of the logistics vehicle is obtained; In a preferred but non-limiting embodiment of the present invention, the specific temperature value change line of the previously set days is to use the vehicle temperature value of the unmanned logistics vehicle on each of the previously set days received by the host computer and the time point of receiving the vehicle temperature value as the ordinate and abscissa of the rectangular coordinate system, and then use the least squares method to fit the coordinate points formed by the ordinate and abscissa to form a fitting equation as the specific temperature value change line of the logistics vehicle on each of the previously set days; The specific refrigeration capacity of the previously set days is the total amount of refrigeration capacity outputted by the unmanned logistics vehicle on each of the previously set days received by the host computer; The specific total operation time of the previously set days is the total operation time of the air-conditioning module controlled by the central control module on each of the previously set days received by the host computer; The specific air volume for the previously set days is the total amount of air volume outputted from the unmanned logistics vehicle on each of the previously set days received by the host computer.

[0024] Step 3-2, obtaining the specific total running time of the past period through the receiving unit to calculate the specific total running time; In a preferred but non-limiting embodiment of the present invention, the method of obtaining the specific total operation time of the past period via the receiving unit to calculate the specific total time includes: The receiving unit accumulates the specific total operating times of all the previous pre-set days received by it to obtain the specific total time.

[0025] Step 3-3, obtaining the failure probability parameter according to the specific total time of the logistics vehicle, the maintenance frequency of the air conditioning module and the failure parameters of each maintenance; Step 3-4, confirm whether the air conditioning module of the logistics vehicle has an obstacle based on the specific status quantity and the obstacle probability parameter of the logistics vehicle; when the confirmed value is an obstacle, obtain the obstacle status parameter of the air conditioning module with the obstacle.

[0026] Through the above method, the present application obtains the specific status of the logistics vehicle by analyzing the specific temperature change line, specific cooling capacity, specific total operating time and specific air volume of the previous pre-set days; then obtains the specific total operating time in the past through the receiving unit to calculate the specific total time; then obtains the failure probability parameter according to the specific total time of the logistics vehicle, the maintenance frequency of the air-conditioning module and the failure parameters of each maintenance; then confirms whether the air-conditioning module of the logistics vehicle has a failure based on the specific status of the logistics vehicle and the failure probability parameter, and when the confirmation value is that there is a failure, obtains the failure status parameter of the air-conditioning module with the failure; the air-conditioning module of the logistics vehicle is confirmed centrally through the specific status and the failure probability parameter, so as to accurately confirm the cause of the malfunction of the air-conditioning module of the logistics vehicle; and selects the air-conditioning module of the logistics vehicle that does not need to be repaired.

[0027] In a preferred but non-limiting embodiment of the present invention, the status of the logistics vehicle is calculated via the equation: Calculate the specific status of the logistics vehicle ; In the equation, P is the number of days set in advance in the past period, ; is the total specific operation time of the air conditioning module on the pth day in the past period; It is the baseline condition quantity of the logistics vehicle; It is the total benchmark specific operation time of the logistics vehicle; (the total benchmark specific operation time is the total specific operation time of the logistics vehicle in the benchmark state); It is the reference temperature value line of the reference specific total operating time of the logistics vehicle in the reference state; (the reference temperature value line is to take the interior temperature value of the unmanned logistics vehicle in the reference specific total operating time of the logistics vehicle in the reference state received by the host computer and the time point of receiving the interior temperature value of the vehicle as the ordinate and abscissa of the rectangular coordinate system respectively, and then use the least squares method to fit the coordinate points formed by the ordinate and abscissa to form a fitting equation as the reference temperature value line); yes The specific temperature change line of the logistics vehicle; is the specific cooling capacity on the pth day in the past period; It is the benchmark refrigeration capacity of the benchmark specific total operating time of the logistics vehicle in the benchmark state; (the benchmark refrigeration capacity is the total amount of refrigeration capacity output in the unmanned logistics vehicle for the benchmark specific total operating time of the logistics vehicle in the benchmark state received by the host computer); The specific wind volume on the pth day in the past period; The reference air volume of the reference specific total operating time of the logistics vehicle in the reference state; (the reference air volume is the total amount of air volume outputted from the unmanned logistics vehicle during the reference specific total operating time of the logistics vehicle in the reference state received by the host computer); is the normalization factor; is a predefined constant; It is the importance level one; It is the second level of importance; It is the third importance. is the Euler number. The time taken for this application can be measured in minutes.

[0028] Through the above method, this application is Calculate the specific status of the logistics vehicle ; is the specific total temperature value of the logistics vehicle on the pth day in the past period; is the specific total temperature value of the previously set number of days P; is the total specific operation time of the air conditioning module for the previously set number of days P; It is the average of the specific temperature values ​​within one minute of the previously set number of days P; It is the predefined average temperature value within one minute; is the mean temperature value minus the mean temperature value of the specific temperature value and the mean temperature value defined in advance; When it is greater than zero, it means that the specific temperature value average is greater than the pre-defined temperature value average. The larger the modulus of the temperature value average reduction, the greater the specific condition. The bigger; When it is less than zero, it means that the specific temperature value average is less than the pre-defined temperature value average. The larger the modulus of the temperature value average reduction, the more specific the condition is. The smaller the specific condition, the worse the condition of the air conditioning module of the logistics vehicle, and the smaller the specific condition, the better the condition of the air conditioning module of the logistics vehicle. It is the average specific cooling capacity within one minute of the previously set number of days P; The average of the predefined cooling capacity within one minute for the predefined number of days P in the past; is the average cooling capacity reduction of the specific cooling capacity average and the predefined cooling capacity average; When it is greater than zero, it means that the specific cooling capacity average is greater than the pre-defined cooling capacity average. The larger the modulus of the cooling capacity average reduction, the greater the specific condition. The bigger; When it is less than zero, it means that the specific cooling capacity average is less than the pre-defined cooling capacity average. The larger the modulus of the cooling capacity average reduction, the greater the specific condition. The smaller; It is the specific wind volume average within one minute of the previously set number of days P; It is the predefined average wind volume within one minute for a predefined number of days P in the past; It is the average air volume subtraction of the predefined average air volume and the specific average air volume; When it is greater than zero, it means that the pre-defined mean air volume is greater than the specific mean air volume. The larger the modulus of the mean air volume reduction, the greater the specific situation. The bigger; When it is less than zero, the predefined mean air volume is less than the actual mean air volume. The larger the modulus of the mean air volume reduction, the greater the actual situation. The smaller.

[0029] The number of days P, the baseline state of the logistics vehicle S0, the baseline specific total operation time of the logistics vehicle u0, and the baseline temperature value line of the baseline specific total operation time of the logistics vehicle located at the baseline state , the reference cooling capacity T0 of the reference specific total operation time of the logistics vehicle at the reference condition, the reference air volume R0 of the reference specific total operation time of the logistics vehicle at the reference condition, and the normalization factor , predefined constants , Importance 1 , Importance 2 And importance three It can be a pre-defined value and can be set according to specific requirements.

[0030] In a preferred but non-limiting embodiment of the present invention, the obstacle probability parameter is obtained via the equation: And we get, in the equation, is the obstacle probability parameter; It is the specific total time estimated in advance by the logistics vehicle; It is the specific total time taken by the logistics vehicle; is the predefined maintenance time of the air conditioning module of the logistics vehicle; N is the specific maintenance frequency of the air conditioning module of the logistics vehicle, ; is the obstacle degree parameter of the air conditioning module of the logistics vehicle maintained for the nth time; is the configuration factor one; is configuration factor two; It is the fourth level of importance; It is the fifth importance; is a predefined obstacle parameter, is the Euler number.

[0031] Through the above method, this application is Dyscalculia probability parameter ; The specific total time estimated in advance is the total time minus the specific total time; It is the total time quotient of the total time reduction and the specific total time estimated in advance; The larger it is, the shorter the total operation time of the air conditioning module of the logistics vehicle is, so the probability of failure is greater when the air conditioning module of the logistics vehicle has defects; is the baseline maintenance frequency; It is the reduction of specific maintenance frequency and benchmark maintenance frequency; It is the quotient of the reduction of the specific maintenance frequency and the benchmark maintenance frequency and the benchmark maintenance frequency; The larger it is, the more likely it is that the air conditioning module of the logistics vehicle will often be obstructed, so when the air conditioning module of the logistics vehicle is defective, the greater the probability of obstruction; is the total obstacle parameter; The smaller it is, the better the air conditioning module of the logistics vehicle is operating, so the greater the probability of it being an obstacle when a defect occurs.

[0032] The specific total time estimated in advance , pre-defined maintenance time Configuration Factor 1 Configuration Factor 2 、Importance 4 , Importance 5 With predefined obstacle parameters is a predefined value, the obstacle degree parameter of the logistics vehicle maintained for the nth time Based on the requirements of the monitor.

[0033] In a preferred but non-limiting embodiment of the present invention, the specific condition quantity and the predefined value , pre-defined value 2 Compare; compare the obstacle probability parameter and the predefined value three Compare; exist When the air conditioning module of the logistics vehicle is accessible; exist When the air conditioning module of the logistics vehicle is accessible; exist When the air conditioning module of the logistics vehicle has a small degree of obstruction; exist When the vehicle was in operation, the air conditioning module of the logistics vehicle completely failed; exist At this time, the air conditioning module of the logistics vehicle has a large degree of failure.

[0034] Through the above method, this application measures the specific situation and the predefined value , pre-defined value 2 Compare; compare the obstacle probability parameter and the predefined value three compare; in When , it means that the air conditioning module of the logistics vehicle is in good condition and the logistics vehicle is barrier-free; When , it means that the air conditioning module of the logistics vehicle is in poor condition but is not related to the fault; When , it means that the logistics vehicle has a small degree of obstacle; When , the logistics vehicle has a large degree of obstacles; When the fault occurs, the logistics vehicle is completely out of order; the logistics vehicles that are completely out of order and have no obstacles are selected, and the logistics vehicles with obstacles are divided into those with minor obstacles and those with major obstacles. The monitor can first repair the minor obstacles to allow the air-conditioning module of the logistics vehicle to operate more efficiently.

[0035] The predefined value , pre-defined value 2 With the predefined value three is a predefined value and conforms to Predefined value one , pre-defined value 2 With the predefined value three Based on specific requirements.

[0036] In a preferred but non-limiting embodiment of the present invention, the obstacle condition parameter It is through the equation Get the obstacle status parameters, is the Euler number; Through the above methods, this application The specific state quantity is reduced by the state quantity of the pre-defined value; the greater the state quantity reduction, the greater the fault state parameter; each air conditioning module with faults is adjusted according to its fault state parameter The repairs are carried out in order from small to large.

[0037] like Figure 2 As shown, the information control device of an intelligent logistics vehicle described in the present invention includes: The central control module and the wireless communication module connected to the logistics vehicle are arranged on the logistics vehicle. The central control module is connected to the host computer via the wireless communication module. The central control module is used to transmit the information of the corresponding logistics vehicle to the host computer for display and storage, so as to achieve the monitoring of the intelligent logistics vehicle; specifically, the information of the logistics vehicle includes the temperature value inside the unmanned logistics vehicle obtained by the central control module, the cooling capacity and air volume output by the air-conditioning module connected to the unmanned logistics vehicle controlled by the central control module, and the timing module. In addition, the central control module can also be provided with a timing module, which is used to count the total operation time of the air-conditioning module on this day when the central control module controls the air-conditioning module to operate. Therefore, the information of the logistics vehicle also includes the total operation time of the air-conditioning module controlled by the central control module on each day; The units running on the host computer include: A receiving unit, which is used to receive and store the information of the logistics vehicle and form a message of the logistics vehicle; A maintenance information unit, which is used to store the maintenance information of the air conditioning module of each logistics vehicle; The parsing unit is communicatively connected with the receiving unit and the maintenance information unit, and is used to perform parsing based on the information of the logistics vehicle and the maintenance information of the air-conditioning module of the logistics vehicle to confirm whether there is a fault in the air-conditioning module of the logistics vehicle. When the confirmation value is that there is a fault, the fault status parameters of each air-conditioning module with a fault are obtained according to a pre-set mode, and the maintenance order of the air-conditioning modules with a fault is arranged according to the fault status parameters.

[0038] Through the above method, the present application detects each logistics vehicle through a receiving unit, receives and stores the information of the logistics vehicle; stores the maintenance information of the air-conditioning module of each logistics vehicle through a maintenance information unit; then performs analysis based on the information and maintenance information of the logistics vehicle through an analysis unit to confirm whether the air-conditioning module of the logistics vehicle has an obstacle. When the confirmed value is an obstacle, the obstacle status parameters of each air-conditioning module with an obstacle are obtained according to a pre-set mode, and the maintenance order of the air-conditioning modules with obstacles is arranged according to the obstacle status parameters; when the air-conditioning modules of several logistics vehicles malfunction, the monitor can perform maintenance according to the maintenance order based on the obstacle estimation value, and first arrange the air-conditioning modules of the logistics vehicles with minor obstacles for repair.

[0039] In a preferred but non-limiting embodiment of the present invention, the information of the logistics vehicle includes the specific temperature change line of the logistics vehicle today, the specific cooling capacity of today, the specific total operating time of today and the specific air volume of today.

[0040] In a preferred but non-limiting embodiment of the present invention, the specific temperature value change line of the logistics vehicle today is to use the vehicle temperature value of the unmanned logistics vehicle today received by the host computer and the time point of receiving the vehicle temperature value as the ordinate and abscissa of the rectangular coordinate system, and then use the least squares method to fit the coordinate points formed by the ordinate and abscissa to form a fitting equation as the specific temperature value change line of the logistics vehicle today; The specific refrigeration capacity of the logistics vehicle today is the total amount of refrigeration output in the unmanned logistics vehicle today received by the host computer; The specific total operation time of the logistics vehicle today is the total operation time of the air conditioning module controlled by the central control module today received by the host computer; The specific air volume for the day is the total amount of air volume output from the unmanned logistics vehicle today received by the host computer.

[0041] In a preferred but non-limiting embodiment of the present invention, the maintenance information includes the maintenance frequency of the air conditioning equipment of the logistics vehicle and the obstacle parameters of each maintenance. The maintenance frequency of the air conditioning equipment of the logistics vehicle can be input into the host computer after the maintenance of the air conditioning equipment is completed.

[0042] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include: The maintenance information of the air-conditioning modules of each logistics vehicle is stored in the maintenance information unit; then, the analysis unit performs analysis based on the information of the logistics vehicle and the maintenance information to confirm whether the logistics vehicle has an obstacle. When the confirmed value is an obstacle, the obstacle status parameters of each air-conditioning module with an obstacle are obtained according to a pre-set mode, and the maintenance order of the air-conditioning modules with obstacles is arranged according to the obstacle status parameters; when several logistics vehicles malfunction, the monitor can perform maintenance in accordance with the maintenance order based on the obstacle estimation value, and first arrange the logistics vehicles with minor obstacles for repair, thereby improving the overall operation efficiency of the air-conditioning modules of the logistics vehicles.

[0043] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not deviate from the spirit and scope of the present invention should be covered within the protection space of the claims of the present invention.

Claims

1. An information control method for an intelligent logistics vehicle, characterized in that: include: The central control module transmits the information of the corresponding logistics vehicle to the upper computer for display and storage; the logistics vehicle information includes the temperature value inside the unmanned logistics vehicle obtained by the central control module, the cooling capacity and air volume output by the air conditioning module connected to it controlled by the central control module, and the total operating time of the air conditioning module controlled by the central control module on each day; When the central control module transmits the corresponding logistics vehicle information to the host computer for display and storage, it also includes: Step 1, receiving and storing the information of the logistics vehicle, and forming a message of the logistics vehicle; Step 2, storing the maintenance information of the air conditioning module of each logistics vehicle; Step 3, perform analysis based on the information of the logistics vehicle and the maintenance information of the air-conditioning module of the logistics vehicle to confirm whether the air-conditioning module of the logistics vehicle has a problem. When the confirmed value is that there is a problem, obtain the problem status parameters of each air-conditioning module with a problem according to a pre-set mode, and arrange the maintenance order of the air-conditioning modules with a problem according to the problem status parameters.

2. The information control method of the intelligent logistics vehicle according to claim 1 is characterized in that: Predefined modes for obtaining obstacle status parameters, including: Step 3-1, by analyzing the specific temperature change line, specific cooling capacity, specific total operation time and specific air volume of the previous pre-set days, the specific status of the logistics vehicle is obtained; Step 3-2, obtaining the specific total running time of the past period through the receiving unit to calculate the specific total running time; Step 3-3, obtaining the fault probability parameter according to the specific total time of the logistics vehicle, the maintenance frequency of the air conditioning module and the fault parameters of each maintenance; Step 3-4, determining whether the air conditioning module of the logistics vehicle has a fault based on the specific status of the logistics vehicle and the fault probability parameter; When the confirmation value is an obstacle, the obstacle status parameter of the air-conditioning module with the obstacle is obtained.

3. The information control method of the intelligent logistics vehicle according to claim 2 is characterized in that: The specific temperature value change line of the previous pre-set days is to take the vehicle temperature value of the unmanned logistics vehicle on each of the previous pre-set days received by the host computer and the time point of receiving the vehicle temperature value as the ordinate and abscissa of the rectangular coordinate system, and then use the least squares method to fit the coordinate points formed by the ordinate and abscissa to form a fitting equation as the specific temperature value change line of the logistics vehicle on each of the previous pre-set days; The specific refrigeration capacity of the previously set days is the total amount of refrigeration capacity outputted by the unmanned logistics vehicle on each of the previously set days received by the host computer; The specific total operation time of the previously set days is the total operation time of the air-conditioning module controlled by the central control module on each of the previously set days received by the host computer; The specific air volume for the previously set days is the total amount of air volume outputted from the unmanned logistics vehicle on each of the previously set days received by the host computer.

4. The information control method of the intelligent logistics vehicle according to claim 3 is characterized in that: The method of obtaining the specific total running time of the past through the receiving unit to calculate the specific total running time includes: The receiving unit accumulates the specific total operating times of all the previous pre-set days received by it to obtain the specific total time.

5. The information control method of the intelligent logistics vehicle according to claim 4 is characterized in that: Through the equation: Calculate the specific status of the logistics vehicle ; In the equation, P is the number of days set in advance in the past period, ; is the total specific operation time of the air conditioning module on the pth day in the past period; It is the baseline condition quantity of the logistics vehicle; It is the benchmark specific total operation time of the logistics vehicle; It is the reference temperature value line of the reference specific total running time of the logistics vehicle in the reference condition; yes The specific temperature change line of the logistics vehicle; is the specific cooling capacity on the pth day in the past period; It is the benchmark refrigeration capacity of the benchmark specific total operation time of the logistics vehicle in the benchmark condition; The specific wind volume on the pth day of the past period; The base air volume for the base specific total operation time of the logistics vehicle in the base condition; is the normalization factor; is a predefined constant; It is the importance level one; It is the second level of importance; It is the third importance. is the Euler number; the obstacle probability parameter is obtained via the equation: So, in the equation, is the obstacle probability parameter; It is the specific total time estimated in advance by the logistics vehicle; It is the specific total time taken by the logistics vehicle; is the predefined maintenance time of the air conditioning module of the logistics vehicle; N is the specific maintenance frequency of the air conditioning module of the logistics vehicle, ; is the obstacle degree parameter of the air conditioning module of the logistics vehicle maintained for the nth time; is the configuration factor one; is configuration factor two; It is the fourth level of importance; It is the fifth importance; is a predefined obstacle parameter, and e is the Euler number.

6. The information control method of the intelligent logistics vehicle according to claim 5 is characterized in that: Quantify the specific situation and the predefined value , pre-defined value 2 Compare; compare the obstacle probability parameter and the predefined value three Compare; exist When the air conditioning module of the logistics vehicle is accessible; exist When the air conditioning module of the logistics vehicle is accessible; exist When the air conditioning module of the logistics vehicle has a small degree of obstruction; exist When the vehicle was in operation, the air conditioning module of the logistics vehicle completely failed; exist At this time, the air conditioning module of the logistics vehicle has a large degree of failure.

7. The information control method of the intelligent logistics vehicle according to claim 6 is characterized in that: The obstacle condition parameter x is obtained by the equation Get the obstacle status parameters, is the Euler number; Each air conditioning module with a problem is adjusted according to its problem condition parameters The repairs are carried out in order from small to large.

8. An information control device for an intelligent logistics vehicle, characterized in that: include: The central control module and the wireless communication module connected to the logistics vehicle are provided on the logistics vehicle. The central control module is connected to the host computer via the wireless communication module. The central control module is used to transmit the information of the corresponding logistics vehicle to the host computer for display and storage. The information of the logistics vehicle includes the temperature value inside the unmanned logistics vehicle obtained by the central control module, the cooling capacity and air volume output by the air conditioning module connected to the unmanned logistics vehicle controlled by the central control module, and the total operation time of the air conditioning module controlled by the central control module on each day. The units running on the host computer include: A receiving unit, which is used to receive and store the information of the logistics vehicle and form a message of the logistics vehicle; A maintenance information unit, which is used to store the maintenance information of the air conditioning module of each logistics vehicle; The parsing unit is communicatively connected with the receiving unit and the maintenance information unit, and is used to perform parsing based on the information of the logistics vehicle and the maintenance information of the air-conditioning module of the logistics vehicle to confirm whether there is a fault in the air-conditioning module of the logistics vehicle. When the confirmation value is that there is a fault, the fault status parameters of each air-conditioning module with a fault are obtained according to a pre-set mode, and the maintenance order of the air-conditioning modules with a fault is arranged according to the fault status parameters.

9. The information control device of the intelligent logistics vehicle according to claim 8, characterized in that: The information of the logistics vehicle includes the specific temperature change line of the logistics vehicle today, the specific cooling capacity of today, the specific total operating time of today and the specific air volume of today.

10. The information control device of the intelligent logistics vehicle according to claim 9 is characterized in that: The specific temperature change line of the logistics vehicle today is to use the temperature value of the unmanned logistics vehicle today received by the host computer and the time of receiving the temperature value as the ordinate and abscissa of the rectangular coordinate system, and then use the least squares method to fit the coordinate points formed by the ordinate and abscissa to form a fitting equation as the specific temperature change line of the logistics vehicle today; The specific refrigeration capacity of the logistics vehicle today is the total amount of refrigeration output in the unmanned logistics vehicle today received by the host computer; The specific total operation time of the logistics vehicle today is the total operation time of the air conditioning module controlled by the central control module today received by the host computer; The specific air volume today is the total amount of air volume output from the unmanned logistics vehicle today received by the host computer; The maintenance information includes the maintenance frequency of the air conditioning equipment of the logistics vehicle and the failure parameters of each maintenance.

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