Management and control platform with intelligent demand analysis

Abstract

The invention discloses a management and control platform with an intelligent demand analysis function. The management and control platform comprises a data acquisition module, a data analysis module, a management and control adjustment module and a console, the data acquisition module is used for acquiring transportation data of the storage transport vehicle and sending the transportation data to the console; the data analysis module receives the transportation data transmitted by the console, processes the transportation data to obtain a monitoring coefficient of the storage transport vehicle, and sends an abnormal operation signal of the storage transport vehicle and a serial number of the corresponding storage transport vehicle to the console according to the monitoring coefficient; the management and control adjustment module carries out signal early warning based on the proportion of the abnormal storage transport vehicle in the storage; according to the method, abnormal operation of the storage transport vehicles is identified according to the monitoring coefficient, the storage transport vehicles with abnormal operation and the total number of the storage vehicles in the storage are processed, so that the current transport state of the storage is obtained, and the number or maintenance state of the storage transport vehicles is processed based on the storage transport state.

Description

Technical Field

[0001] The present invention relates to the field of intelligent warehousing technology, and in particular to a management and control platform with intelligent demand analysis. Background Art

[0002] In the warehousing system, fixed picking stations are usually set up near the shelves, and the picking stations and shelves are connected by conveyor lines. When picking orders, the inventory boxes in the shelves are transported to the picking stations through the conveyor lines, and the goods in the inventory boxes are picked and placed in the order boxes by manual or robotic arms at the picking stations. After the picking is completed, the picked order boxes are output through other conveyor lines and the empty order boxes are replenished, and the inventory boxes are transported back to the shelves for storage. In this process, AGV carts come into being in the warehousing and transportation process.

[0003] For example, patent application No. 201810494339.X discloses an AGV vehicle control system and method, the system includes a user interaction layer, a business logic layer, a data storage layer, a hardware driver layer and a hardware layer, the method includes: the business logic layer obtains the navigation information, UWEB location information, RFID site information and user interaction information of the AGV vehicle from the data storage layer; the business logic layer simulates the operation route map of the AGV vehicle according to the navigation information, UWEB location information, RFID site information and user interaction information of the AGV vehicle; the business logic layer performs AGVS scheduling management on the AGV vehicle according to the operation route map of the AGV vehicle, which can be widely used in the field of logistics and transportation equipment control.

[0004] However, in the prior art, when a storage and transport vehicle breaks down, the storage and transport vehicle is repaired or a new vehicle is called in, which easily leads to a backlog of goods in storage and transportation, and even more seriously, the entire storage is stagnant. Therefore, there is an urgent need for a management and control platform for the status of storage and transport vehicles. Summary of the invention

[0005] The purpose of the present invention is to provide a management and control platform with intelligent demand analysis, which collects transportation data of storage and transport vehicles through a data acquisition module, obtains the monitoring coefficient of the storage and transport vehicle by processing the noise decibel value of the storage and transport vehicle during transportation, the power loss value of the storage and transport vehicle, the driving deviation value of the storage and transport vehicle and the working energy efficiency value of the storage and transport vehicle, identifies the operation anomalies of the storage and transport vehicle according to the monitoring coefficient, processes the storage and transport vehicles with abnormal operation and the total number of storage vehicles in the warehouse, thereby obtaining the current transportation status of the warehouse, and processes the number or maintenance status of the storage and transport vehicles based on the storage and transportation status.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] A management and control platform with intelligent demand analysis, including a data collection module, a data analysis module, a management and control adjustment module and a control console;

[0008] The data acquisition module is used to collect the transportation data of the storage and transportation vehicles and send the transportation data to the console;

[0009] The data analysis module receives the transport data transmitted by the control console, processes the transport data to obtain the monitoring coefficient of the storage and transport vehicle, and sends the abnormal operation signal of the storage and transport vehicle and the number of the corresponding storage and transport vehicle to the control console according to the monitoring coefficient;

[0010] The control and adjustment module issues signal warnings based on the proportion of abnormal storage and transport vehicles in the warehouse.

[0011] As a further solution of the present invention: the transportation data includes the noise decibel value of the storage and transportation vehicle during transportation, the power consumption value of the storage and transportation vehicle, the driving deviation value of the storage and transportation vehicle and the working energy efficiency value of the storage and transportation vehicle.

[0012] 3. A management and control platform with intelligent demand analysis according to claim 2, characterized in that the monitoring coefficient of the storage and transportation vehicle is obtained by:

[0013] Step 1: Obtain the noise decibel value generated when the storage and transportation vehicle is running, and mark the noise decibel value generated when the storage and transportation vehicle is running as Bi, i=1, 2, ..., n;

[0014] Step 2: Obtain the power consumption value of the storage and transportation vehicle during operation, and mark the power consumption value of the storage and transportation vehicle during operation as Di;

[0015] Step 3: Obtain the driving deviation value between the storage and transportation vehicle and the preset track, and mark the driving deviation value between the storage and transportation vehicle and the preset track as Pi;

[0016] Step 4: Obtain the working energy efficiency value of the storage and transportation vehicle during operation, and mark the working energy efficiency value of the storage and transportation vehicle during operation as Mi;

[0017] Step 4: Use the formula The monitoring coefficient Xi of the storage and transportation vehicle is obtained, where s1, s2, s3 and s4 are all preset proportional coefficients, and s1>s2>s3>S4, and β is the error correction factor, which is 2.982653.

[0018] As a further solution of the present invention: a monitoring coefficient threshold of a storage and transportation vehicle is preset, and the monitoring coefficient Xi of the storage and transportation vehicle is compared with the monitoring coefficient threshold of the storage and transportation vehicle:

[0019] If the monitoring coefficient Xi of the storage and transport vehicle is less than the monitoring coefficient threshold of the storage and transport vehicle, it is determined that the operation of the storage and transport vehicle is normal, a storage and transport vehicle normal operation signal is generated, and the storage and transport vehicle normal operation signal is sent to the control console;

[0020] If the monitoring coefficient Xi of the storage and transport vehicle ≥ the monitoring coefficient threshold of the storage and transport vehicle, the operation of the storage and transport vehicle is determined to be abnormal, an abnormal operation signal of the storage and transport vehicle is generated, and the abnormal operation signal of the storage and transport vehicle and the number of the corresponding storage and transport vehicle are sent to the console.

[0021] As a further solution of the present invention: the control and regulation module counts the abnormal storage and transportation vehicles, marks the total number of abnormal storage and transportation vehicles as yc, and marks the total number of storage and transportation vehicles as YC;

[0022] If the total number of abnormal storage and transportation vehicles yc / the total number of storage and transportation vehicles YC ≥ 0.6, it means that the current storage and transportation is in a state of collapse;

[0023] If 0.6 ≥ the total number of abnormal storage and transportation vehicles yc / the total number of storage and transportation vehicles YC ≥ 0.3, it means that the current storage and transportation vehicles are in short supply;

[0024] If the total number of abnormal storage and transportation vehicles yc / the total number of storage and transportation vehicles YC < 0.3, it means that the current storage and transportation vehicles are in a normal state.

[0025] As a further solution of the present invention: the control console controls the number of storage and transportation vehicles according to the current status of the storage and transportation vehicles.

[0026] As a further solution of the present invention: the noise decibel value during transportation by the storage and transportation vehicle is monitored by a sound sensor, and the sound sensor is arranged on the body of the storage and transportation vehicle.

[0027] As a further solution of the present invention: the process of obtaining the power loss value of the storage and transportation vehicle is to obtain the loss value Es by taking the difference between the power when the storage and transportation vehicle starts transportation and the power when the storage and transportation vehicle ends transportation;

[0028] The distance that the storage and transportation vehicle travels during the loss period is recorded as Lu;

[0029] By formula The power loss value Di of the storage and transportation vehicle during operation is obtained, wherein ki is the weight of the storage and transportation vehicle during transportation, and k is a preset correction coefficient.

[0030] As a further solution of the present invention: the process of obtaining the driving deviation value of the storage and transportation vehicle is as follows:

[0031] Design the operation area of ​​the storage and transportation vehicle according to its purpose and application scenarios, draw an electronic map based on the scenario of the operation area, build a map module, and cover the entire working area of ​​the storage and transportation vehicle with a GPS signal network;

[0032] Based on the map module, the GPS positioning module is connected to the storage and transportation vehicle to set the initial position of the navigation path;

[0033] Based on the map module and with the end point as the location information, the coordinates of the end point of the navigation path are constructed, and then the virtual navigation path of the storage and transportation vehicle is obtained;

[0034] Obtain the actual travel path of the storage and transportation vehicle on the map module, thereby obtaining the real travel path of the storage and transportation vehicle;

[0035] By comparing the virtual navigation path of the storage and transportation vehicle with the actual travel path of the storage and transportation vehicle, the driving deviation value of the storage and transportation vehicle is obtained.

[0036] As a further solution of the present invention: the working energy efficiency value of the storage and transportation vehicle is the ratio of the sum of the working times of the storage and transportation vehicle to the sum of the failure times of the storage and transportation vehicle.

[0037] Beneficial effects of the present invention: The present invention collects the transportation data of the storage and transportation vehicle through the data acquisition module, obtains the monitoring coefficient of the storage and transportation vehicle by processing the noise decibel value, the power consumption value, the driving deviation value and the working energy efficiency value of the storage and transportation vehicle during transportation, identifies the operation anomaly of the storage and transportation vehicle according to the monitoring coefficient, processes the storage and transportation vehicle with the abnormal operation and the total number of storage and transportation vehicles in the warehouse, thereby obtaining the current transportation status of the warehouse, and processes the number or maintenance status of the storage and transportation vehicles based on the storage and transportation status;

[0038] In the present invention, the operation area of ​​the storage and transportation vehicle is designed according to the purpose and application scenario of the storage and transportation vehicle, and an electronic map is drawn according to the scenario of the operation area, and a map module is constructed. Based on the map module and with the end point position as the support of position information, the end point position coordinates of the navigation path are constructed, and then the virtual navigation path of the storage and transportation vehicle is obtained, and the real travel path of the storage and transportation vehicle on the map module is obtained simultaneously. A path diagram of the virtual navigation path and the real travel path of the storage and transportation vehicle is drawn in a two-dimensional coordinate system, and the driving deviation value of the storage and transportation vehicle is obtained based on the path diagram processing, so that the vehicle path monitoring is more accurate, and thus the monitoring coefficient of the storage and transportation vehicle is more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] Figure 1 It is a flowchart of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] See also Figure 1 As shown, the present invention is a management and control platform with intelligent demand analysis, including a data acquisition module, a data analysis module, a management and control adjustment module and a control console;

[0043] The data acquisition module is used to collect the transportation data of the storage and transportation vehicles and send the transportation data to the console;

[0044] The data analysis module receives the transport data transmitted by the control console, processes the transport data to obtain the monitoring coefficient of the storage and transport vehicle, and sends the abnormal operation signal of the storage and transport vehicle and the number of the corresponding storage and transport vehicle to the control console according to the monitoring coefficient;

[0045] The control and adjustment module issues signal warnings based on the proportion of abnormal storage and transport vehicles in the warehouse.

[0046] The transportation data includes the noise decibel value of the warehouse and transport vehicle during transportation, the power loss value of the warehouse and transport vehicle, the driving deviation value of the warehouse and transport vehicle, and the working energy efficiency value of the warehouse and transport vehicle.

[0047] Among them, the noise decibel value during transportation by the storage and transport vehicle is monitored by a sound sensor.

[0048] The process of obtaining the power loss value of the storage and transportation vehicle is to make a difference between the power when the storage and transportation vehicle starts transportation and the power when the storage and transportation vehicle ends transportation to obtain the loss value Es;

[0049] The distance that the storage and transportation vehicle travels during the loss period is recorded as Lu;

[0050] By formula The power loss value Di of the storage and transportation vehicle during operation is obtained, wherein ki is the weight of the storage and transportation vehicle during transportation, and k is a preset correction coefficient.

[0051] The process of obtaining the driving deviation value of the storage and transportation vehicle is as follows:

[0052] Design the operation area of ​​the storage and transportation vehicle according to its purpose and application scenarios, draw an electronic map based on the scenario of the operation area, build a map module, and cover the entire working area of ​​the storage and transportation vehicle with a GPS signal network;

[0053] Based on the map module, the GPS positioning module is connected to the storage and transportation vehicle to set the initial position of the navigation path;

[0054] Based on the map module and with the end point as the location information, the coordinates of the end point of the navigation path are constructed, and then the virtual navigation path of the storage and transportation vehicle is obtained;

[0055] Obtain the actual travel path of the storage and transportation vehicle on the map module, thereby obtaining the real travel path of the storage and transportation vehicle;

[0056] Constructing a virtual navigation path and a real travel path of the storage and transportation vehicle in a two-dimensional coordinate system, selecting the highest point and the lowest point in the virtual navigation path or the real travel path, drawing a horizontal line with the highest point and the lowest point, and drawing a vertical line with the starting point of the virtual navigation path and the end point of the real travel path, and constructing a box area image with a white background;

[0057] In the two-dimensional coordinate system, the part of the closed area formed by the path diagram of the virtual navigation path and the actual travel path of the storage and transportation vehicle is painted to form a black area image, and the entire white-bottom box area image and the black area image are projected and photographed to obtain a closed area photo. The closed area photo is magnified several times to form a pixel table overlapping photo, and the number of black pixel grids and the number of entire pixel grids in the pixel table overlapping photo are counted to obtain the ratio of the number of black pixel grids to the number of entire pixel grids, that is, the driving deviation value of the storage and transportation vehicle is obtained.

[0058] The working energy efficiency value of a storage and transport vehicle is the ratio of the sum of the number of times the storage and transport vehicle works to the sum of the number of times the storage and transport vehicle fails.

[0059] The data analysis module analyzes the transportation data of the storage and transportation vehicle, that is, it processes the noise decibel value, the power loss value, the driving deviation value and the working energy efficiency value of the storage and transportation vehicle during transportation. The specific steps are as follows:

[0060] Step 1: Obtain the noise decibel value generated when the storage and transportation vehicle is running, and mark the noise decibel value generated when the storage and transportation vehicle is running as Bi, i=1, 2, ..., n;

[0061] Step 2: Obtain the power consumption value of the storage and transportation vehicle during operation, and mark the power consumption value of the storage and transportation vehicle during operation as Di;

[0062] Step 3: Obtain the driving deviation value between the storage and transportation vehicle and the preset track, and mark the driving deviation value between the storage and transportation vehicle and the preset track as Pi;

[0063] Step 4: Obtain the working energy efficiency value of the storage and transportation vehicle during operation, and mark the working energy efficiency value of the storage and transportation vehicle during operation as Mi;

[0064] Step 4: Use the formula The monitoring coefficient Xi of the storage and transportation vehicle is obtained, where s1, s2, s3 and s4 are all preset proportional coefficients, and s1>s2>s3>S4, and β is the error correction factor, which is 2.982653;

[0065] Step 5: Compare the monitoring coefficient Xi of the storage and transportation vehicle with the monitoring coefficient threshold of the storage and transportation vehicle:

[0066] If the monitoring coefficient Xi of the storage and transport vehicle is less than the monitoring coefficient threshold of the storage and transport vehicle, it is determined that the operation of the storage and transport vehicle is normal, a storage and transport vehicle normal operation signal is generated, and the storage and transport vehicle normal operation signal is sent to the control console;

[0067] If the monitoring coefficient Xi of the storage and transport vehicle ≥ the monitoring coefficient threshold of the storage and transport vehicle, the operation of the storage and transport vehicle is determined to be abnormal, an abnormal operation signal of the storage and transport vehicle is generated, and the abnormal operation signal of the storage and transport vehicle and the number of the corresponding storage and transport vehicle are sent to the console.

[0068] The control and regulation module obtains the abnormal operation signal of the storage and transportation vehicle transmitted by the control console and the number of the corresponding storage and transportation vehicle, counts the abnormal storage and transportation vehicles, marks the total number of abnormal storage and transportation vehicles as yc, and marks the total number of storage and transportation vehicles as YC;

[0069] If the total number of abnormal storage and transportation vehicles yc / the total number of storage and transportation vehicles YC ≥ 0.6, it means that the current storage and transportation is in a state of collapse and new storage and transportation vehicles are urgently needed;

[0070] If 0.6 ≥ the total number of abnormal storage and transportation vehicles yc / the total number of storage and transportation vehicles YC ≥ 0.3, it means that the current storage and transportation vehicles are in short supply, and normal storage and transportation vehicles are needed to undertake more transportation tasks, and abnormal storage and transportation vehicles should be repaired urgently;

[0071] If the total number of abnormal storage and transportation vehicles yc / the total number of storage and transportation vehicles YC is less than 0.3, it means that the current storage and transportation vehicles are in a normal state, and the storage and transportation vehicles with abnormal operation are normally repaired.

[0072] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A management and control platform with intelligent demand analysis, characterized in that: Including data collection module, data analysis module, control and adjustment module and control console; The data acquisition module is used to collect the transportation data of the storage and transportation vehicles and send the transportation data to the console; The data analysis module receives the transport data transmitted by the control console, processes the transport data to obtain the monitoring coefficient of the storage and transport vehicle, and sends the abnormal operation signal of the storage and transport vehicle and the number of the corresponding storage and transport vehicle to the control console according to the monitoring coefficient; The control and adjustment module issues signal warnings based on the proportion of abnormal storage and transport vehicles in the warehouse.

2. A management and control platform with intelligent demand analysis according to claim 1, characterized in that: The transportation data includes the noise decibel value of the storage and transportation vehicle during transportation, the power consumption value of the storage and transportation vehicle, the driving deviation value of the storage and transportation vehicle and the working energy efficiency value of the storage and transportation vehicle.

3. A management and control platform with intelligent demand analysis according to claim 2, characterized in that: The process of obtaining the monitoring coefficient of the storage and transportation vehicle is as follows: Step 1: Obtain the noise decibel value generated when the storage and transportation vehicle is running, and mark the noise decibel value generated when the storage and transportation vehicle is running as Bi, i=1, 2, ..., n; Step 2: Obtain the power consumption value when the storage and transportation vehicle is running, and mark the power consumption value when the storage and transportation vehicle is running as Di; Step 3: Obtain the driving deviation value between the storage and transportation vehicle and the preset track, and mark the driving deviation value between the storage and transportation vehicle and the preset track as Pi; Step 4: Obtain the working energy efficiency value of the storage and transportation vehicle during operation, and mark the working energy efficiency value of the storage and transportation vehicle during operation as Mi; Step 4: Use the formula The monitoring coefficient Xi of the storage and transport vehicle is obtained, where s1, s2, s3 and s4 are all preset proportional coefficients, and s1>s2>s3>S4, and β is the error correction factor, which is 2.982653.

4. A management and control platform with intelligent demand analysis according to claim 3, characterized in that: The monitoring coefficient threshold of the storage and transportation vehicle is preset, and the monitoring coefficient Xi of the storage and transportation vehicle is compared with the monitoring coefficient threshold of the storage and transportation vehicle: If the monitoring coefficient Xi of the storage and transport vehicle is less than the monitoring coefficient threshold of the storage and transport vehicle, it is determined that the operation of the storage and transport vehicle is normal, a storage and transport vehicle normal operation signal is generated, and the storage and transport vehicle normal operation signal is sent to the control console; If the monitoring coefficient Xi of the storage and transport vehicle ≥ the monitoring coefficient threshold of the storage and transport vehicle, the operation of the storage and transport vehicle is determined to be abnormal, an abnormal operation signal of the storage and transport vehicle is generated, and the abnormal operation signal of the storage and transport vehicle and the number of the corresponding storage and transport vehicle are sent to the console.

5. According to the management and control platform with intelligent demand analysis according to claim 1, it is characterized in that: The control and adjustment module counts the abnormal storage and transportation vehicles, marks the total number of abnormal storage and transportation vehicles as yc, and marks the total number of storage and transportation vehicles as YC; If the total number of abnormal storage and transportation vehicles yc / the total number of storage and transportation vehicles YC ≥ 0.6, it means that the current storage and transportation is in a state of collapse; If 0.6 ≥ the total number of abnormal storage and transportation vehicles yc / the total number of storage and transportation vehicles YC ≥ 0.3, it means that the current storage and transportation vehicles are in short supply; If the total number of abnormal storage and transportation vehicles yc / the total number of storage and transportation vehicles YC < 0.3, it means that the current storage and transportation vehicles are in a normal state.

6. A management and control platform with intelligent demand analysis according to claim 5, characterized in that: The control console controls the number of storage and transportation vehicles according to the current status of the storage and transportation vehicles.

7. The management and control platform with intelligent demand analysis according to claim 2 is characterized in that: The noise decibel value during transportation by the storage and transport vehicle is monitored by a sound sensor, which is arranged on the body of the storage and transport vehicle.

8. The management and control platform with intelligent demand analysis according to claim 2 is characterized in that: The process of obtaining the power loss value of the storage and transportation vehicle is to make a difference between the power when the storage and transportation vehicle starts transportation and the power when the storage and transportation vehicle ends transportation to obtain the loss value Es; The distance that the storage and transportation vehicle travels during the loss period is recorded as Lu; By formula The power loss value Di of the storage and transportation vehicle during operation is obtained, wherein ki is the weight of the storage and transportation vehicle during transportation, and k is a preset correction coefficient.

9. The management and control platform with intelligent demand analysis according to claim 1 is characterized in that: The process of obtaining the driving deviation value of the storage and transportation vehicle is as follows: Design the operation area of ​​the storage and transportation vehicle according to its purpose and application scenarios, draw an electronic map based on the scenario of the operation area, build a map module, and cover the entire working area of ​​the storage and transportation vehicle with a GPS signal network; Based on the map module, the GPS positioning module is connected to the storage and transportation vehicle to set the initial position of the navigation path; Based on the map module and with the end point as the location information, the coordinates of the end point of the navigation path are constructed, and then the virtual navigation path of the storage and transportation vehicle is obtained; Obtain the actual travel path of the storage and transportation vehicle on the map module, thereby obtaining the real travel path of the storage and transportation vehicle; By comparing the virtual navigation path of the storage and transportation vehicle with the actual travel path of the storage and transportation vehicle, the driving deviation value of the storage and transportation vehicle is obtained.

10. A management and control platform with intelligent demand analysis according to claim 1, characterized in that: The working energy efficiency value of a storage and transport vehicle is the ratio of the sum of the number of times the storage and transport vehicle works to the sum of the number of times the storage and transport vehicle fails.

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