Cable tray raw material storage intelligent management system based on artificial intelligence

Abstract

The present invention discloses an intelligent management system for cable tray raw material storage based on artificial intelligence, which relates to the field of cable accessories and solves the problem that the current storage management of cable tray production raw materials is usually based on simple procedures or manual records, and it is impossible to intelligently identify and accurately identify whether the production raw materials required for the cable tray in the raw material warehouse are sufficient and it is impossible to reasonably select the procurement channels for the production raw materials of the cable tray. The system comprises a preliminary analysis module, a raw material analysis module and a comprehensive procurement module. The preliminary analysis module is used to perform preliminary analysis on the production raw materials corresponding to the target cable tray in the raw material warehouse, the raw material analysis module is used to analyze the production raw materials of the target cable tray in the raw material warehouse, and the comprehensive procurement module is used to select the supplier of the production raw materials corresponding to the target cable tray. The present invention can accurately determine whether the production raw materials required for the cable tray in the raw material warehouse are sufficient and reasonably select the procurement channels for the production raw materials of the cable tray.

Description

Technical Field

[0001] The present invention belongs to the field of cables and relates to intelligent warehouse management technology, and specifically to an intelligent warehouse management system for cable tray raw materials based on artificial intelligence. Background Art

[0002] Cable is a component that connects two devices to transmit electrical signals. It is formed by bonding, twisting or braiding two or more wires together. Cables have a wide range of uses and each use requires special manufacture. Its functions range from transmitting electrical energy, electrical signals and realizing electromagnetic energy conversion. Power cables are usually composed of a cable core that transmits power or electrical signals and a sheath that protects and insulates. Cable trays refer to the organization and wiring of cables of different types and specifications according to a certain layout and connection method. There are many types of cable trays, so intelligent warehouse management systems are often used to store and manage the raw materials of cable trays.

[0003] In the prior art, at the current stage, the storage management of cable tray production raw materials is usually based on simple procedures or manual records. The above methods cannot intelligently identify and accurately identify whether the raw materials required for the cable tray production in the raw material warehouse are sufficient. At the same time, simple procedures or manual work cannot reasonably select the procurement channels for the cable tray production raw materials;

[0004] To this end, we propose an artificial intelligence-based intelligent management system for cable tray raw material storage. Summary of the invention

[0005] The purpose of the present invention is to propose an intelligent management system for cable tray raw material storage based on artificial intelligence, so as to solve the problem raised in the above background technology that in the current stage, the storage management of cable tray production raw materials is usually based on simple procedures or manual records, and the simple procedures or manual records cannot intelligently and accurately identify whether the raw materials required for the cable tray production in the raw material warehouse are sufficient. At the same time, the simple procedures or manual records cannot reasonably select the procurement channels for the raw materials for the cable tray production.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] The cable tray raw material storage intelligent management system based on artificial intelligence includes a server, a database, an input terminal, a model identification module, a data acquisition module, a preliminary analysis module, a raw material analysis module and a comprehensive procurement module. The data acquisition module is connected to a raw material warehouse, and the raw material warehouse is used to store the production raw materials of different types of cable trays;

[0008] The input terminal is used to input the production model of the target cable tray, and send the production model of the target cable tray to the model identification module; the database is used to store the production material table of cable trays of different preset models; the model identification module is used to identify the production model of the target cable tray input by the input terminal, and send the preset production information corresponding to the target cable tray to the preliminary analysis module and the raw material analysis module;

[0009] The data acquisition module is used to obtain the raw material quality of the target cable tray corresponding to the production raw materials in the raw material warehouse in real time, and send the raw material quality of the corresponding production raw materials to the preliminary analysis module; the preliminary analysis module is used to perform preliminary analysis on the production raw materials corresponding to the target cable tray in the raw material warehouse, and if the analysis generates a storage replenishment signal, the preliminary analysis module sends the storage replenishment signal to the server, and the server generates a collection instruction based on the storage replenishment signal and loads it into the data acquisition module;

[0010] The data acquisition module is also used to obtain the manufacturing volume of the target cable tray at different time periods in the past, and send the manufacturing volume of the target cable tray at different time periods in the past to the raw material analysis module; the raw material analysis module is used to analyze the production raw materials of the target cable tray in the raw material warehouse, and if the quality difference is obtained by the analysis, the raw material analysis module sends the quality difference of the raw materials to be purchased to the comprehensive procurement module;

[0011] The database is used to store the supply data of suppliers of different production materials, and send the supply data to the comprehensive procurement module; the comprehensive procurement module is used to select the supplier of production materials corresponding to the target cable distribution tray, and the target supplier of the raw materials to be purchased is selected and sent to the server, and the server purchases the production materials of corresponding quality according to the quality difference.

[0012] Furthermore, the cable raw material table includes preset production information of different cable trays, and the preset production information is the production raw materials required to manufacture the cable tray of the preset model and the mass ratio between the production raw materials.

[0013] Furthermore, the identification process of the model identification module is as follows:

[0014] Matching the production model of the target cable distribution tray with the preset model of the cable distribution tray stored in the database;

[0015] If pairing is not successful, no operation will be performed;

[0016] If the pairing is successful, the preset production information corresponding to the target cable distribution panel is obtained according to the preset model.

[0017] Furthermore, the preliminary analysis process of the preliminary analysis module is as follows:

[0018] Obtain the raw material quality of the target cable tray corresponding to the production raw materials in the raw material warehouse;

[0019] Compare the raw material quality of the corresponding production raw materials of the cable tray with the corresponding raw material inventory alarm quantity;

[0020] If the raw material quality of the target cable distribution tray corresponding to the production raw material is greater than the corresponding raw material inventory alarm quantity, no operation will be performed;

[0021] If the raw material quality of any production raw material in the target cable distribution tray is less than or equal to the raw material inventory alarm quantity, a storage replenishment signal is generated.

[0022] Furthermore, the analysis process of the raw material analysis module is as follows:

[0023] Obtain the manufacturing volume of the target cable distribution tray in different time periods in the past respectively;

[0024] Calculate the estimated manufacturing volume of the target cable tray within the raw material analysis time;

[0025] Obtain the mass ratio between the production raw materials corresponding to the target cable tray;

[0026] By multiplying the estimated manufacturing volume by the mass ratio between the corresponding production raw materials of the target cable tray, the estimated raw material mass required for the production raw materials of the target cable tray within the raw material analysis time is calculated.

[0027] Furthermore, the analysis process of the raw material analysis module also includes:

[0028] Obtain the raw material quality of the target cable tray corresponding to the production raw materials in the raw material warehouse;

[0029] If the estimated raw material quality corresponding to the target cable tray is less than or equal to the raw material quality, the purchase operation of the production raw materials of the corresponding type of the target cable tray will not be performed;

[0030] If the mass of any estimated raw material in the target cable tray is greater than the raw material mass, the mass difference of the corresponding production raw material in the target cable tray within the raw material analysis time is obtained by subtracting the raw material mass from the estimated raw material mass, and the corresponding production raw material in the target cable tray is marked as the raw material to be purchased.

[0031] Furthermore, the raw material analysis duration is obtained by adding up different durations in the past and taking the average value.

[0032] Furthermore, the supply data includes the unit price of the raw materials sold by the supplier and the current sales volume of the raw materials, the transportation distance between the supplier and the raw material warehouse, and the number of defaults of the supplier.

[0033] Furthermore, the working process of the comprehensive procurement module is as follows:

[0034] Obtaining optional suppliers from the database based on the raw materials to be purchased;

[0035] Then, the quality difference of the raw materials to be purchased is obtained. If the current sales volume of the raw materials of the supplier is less than the quality difference of the raw materials to be purchased, no operation is performed;

[0036] If the current sales volume of the supplier's raw materials is greater than or equal to the quality difference of the raw materials to be purchased, proceed to the next step;

[0037] Obtain the unit price and number of defaults of the corresponding raw materials produced by the supplier, as well as the transportation distance between the supplier and the raw material warehouse;

[0038] Calculate the supplier's purchasing priority value;

[0039] Select the supplier with the largest purchase priority value as the target supplier of the raw materials to be purchased.

[0040] In a second aspect, the technical solution of the present invention further provides an intelligent management method for cable production raw material storage based on artificial intelligence, the method comprising the following steps:

[0041] Step S101, the input terminal inputs the production model of the target cable tray and sends it to the model identification module, the model identification module identifies the production model of the target cable tray, obtains the preset production information corresponding to the target cable tray and sends it to the preliminary analysis module and the raw material analysis module;

[0042] Step S102, the data acquisition module obtains the raw material quality of the target cable tray corresponding to the production raw material in the raw material warehouse in real time and sends it to the preliminary analysis module, and the preliminary analysis module performs preliminary analysis on the production raw material corresponding to the target cable tray in the raw material warehouse;

[0043] Step S103: if the analysis generates a storage replenishment signal, it is sent to the server. The server generates a collection instruction based on the storage replenishment signal and loads it into the data collection module. The data collection module also obtains the manufacturing volume of the target cable distribution tray in different time periods in the past and sends it to the raw material analysis module.

[0044] Step S104, the raw material analysis module analyzes the production raw materials of the target cable tray in the raw material warehouse, and if the quality difference of the raw materials to be purchased is obtained through the analysis, the raw material analysis module sends it to the comprehensive procurement module;

[0045] Step S105, the comprehensive procurement module selects the supplier of the production materials corresponding to the target cable tray, selects the target supplier of the raw materials to be purchased and sends them to the server, and the server purchases the production materials of corresponding quality according to the quality difference.

[0046] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0047] The present invention discriminates the production model of the target cable tray through the model discrimination module, obtains the preset production information corresponding to the target cable tray and sends it to the preliminary analysis module and the raw material analysis module, and then uses the preliminary analysis module to perform preliminary analysis on the production raw materials corresponding to the target cable tray in the raw material warehouse. If the analysis generates a storage replenishment signal, the manufacturing volume of the target cable tray in different time periods in the past is obtained and sent to the raw material analysis module, and the raw material analysis module is used to analyze the production raw materials of the target cable tray in the raw material warehouse. If the quality difference of the raw materials to be purchased is obtained through the analysis, it is sent to the comprehensive procurement module. Finally, the supplier of the production raw materials corresponding to the target cable tray is selected through the comprehensive procurement module. The present invention can not only accurately determine whether the production raw materials required for the cable tray in the raw material warehouse are sufficient, but also can rationally select the procurement channels for the production raw materials of the cable tray. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0049] Figure 1 is the overall system block diagram of the present invention;

[0050] Figure 2 The present invention is a flowchart of the method. DETAILED DESCRIPTION

[0051] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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. Example

[0052] See also Figure 1 As shown, the present invention provides a technical solution: an intelligent management system for cable tray raw material storage based on artificial intelligence, including a server, a database, an input terminal, a model identification module, a data acquisition module, a preliminary analysis module, a raw material analysis module and a comprehensive procurement module. The system is also connected to a raw material warehouse, and the raw material warehouse is used to store the production raw materials of different types of cable trays;

[0053] In this embodiment, the input terminal is used to input the production model of the target cable distribution tray, and send the production model of the target cable distribution tray to the model identification module. Specifically, the input terminal can be a mobile device or a PC device;

[0054] The database is connected to the model identification module, and the database is used to store a production material table of cable trays of different preset models, wherein the cable material table specifically includes preset production information of different cable trays, and the preset production information specifically includes the production materials required to manufacture a cable tray of a corresponding preset model and the mass ratio between the production materials;

[0055] It should be specifically noted that the production raw materials table is as follows:

[0056]

[0057] For example, the production of the first type of cable tray requires type A raw materials, type B raw materials and type C raw materials, wherein the mass ratio of type A raw materials, type B raw materials and type C raw materials is 1:2:3; the production of the second type of cable tray requires type A raw materials, type B raw materials and type D raw materials, wherein the mass ratio of type A raw materials, type B raw materials and type D raw materials is 1:2:2; the production of the third type of cable tray requires type A raw materials, type B raw materials, type C raw materials and type D raw materials, wherein the mass ratio of type A raw materials, type B raw materials, type C raw materials and type D raw materials is 1:2:1:4;

[0058] In this embodiment, the model identification module is used to identify the production model of the target cable distribution tray input by the input terminal, and the identification process is as follows:

[0059] The production model of the target cable distribution tray is matched with the preset model of the cable distribution tray stored in the database; wherein the matching is a prior art and will not be described in detail here;

[0060] If pairing is not successful, no operation will be performed;

[0061] If the pairing is successful, the preset production information corresponding to the target cable distribution panel is obtained according to the preset model;

[0062] The model identification module sends the preset production information corresponding to the target cable distribution tray to the preliminary analysis module and the raw material analysis module;

[0063] The data acquisition module is used to obtain the raw material quality of the target cable tray corresponding to the production raw materials in the raw material warehouse in real time, and send the raw material quality of the corresponding production raw materials to the preliminary analysis module; the preliminary analysis module is used to perform preliminary analysis on the production raw materials corresponding to the target cable tray in the raw material warehouse, and the preliminary analysis process is as follows:

[0064] Obtain the raw material quality of the target cable tray corresponding to the production raw materials in the raw material warehouse;

[0065] Compare the raw material quality of the corresponding production raw materials of the cable tray with the corresponding raw material inventory alarm quantity;

[0066] If the raw material quality of the target cable distribution tray corresponding to the production raw material is greater than the corresponding raw material inventory alarm quantity, no operation is performed and it is determined that the inventory in the raw material warehouse is sufficient;

[0067] If the quality of any raw material in the target cable distribution tray is less than or equal to the raw material inventory alarm quantity, a storage replenishment signal is generated, indicating that the corresponding production raw material inventory is insufficient and needs to be replenished;

[0068] If a storage replenishment signal is generated, the preliminary analysis module sends the storage replenishment signal to the server, and the server generates a collection instruction based on the storage replenishment signal and loads it into the data collection module;

[0069] When the data acquisition module receives the acquisition instruction, the data acquisition module is also used to obtain the manufacturing volume of the target cable distribution panel in the past t1, t2 and t3, for example, the duration of t1 is 10 days, the duration of t2 is 15 days, and the duration of t3 is 20 days;

[0070] The data acquisition module sends the manufacturing volume of the target cable tray within the time length t1, t2 and t3 to the raw material analysis module; the raw material analysis module is used to analyze the production raw materials of the target cable tray in the raw material warehouse, and the analysis process is as follows:

[0071] Obtain the manufacturing volume of the target cable distribution panel in the past time t1, time t2 and time t3 respectively, and record the manufacturing volume as ZZL1, ZZL2 and ZZL3 respectively;

[0072] The estimated manufacturing volume ZZL0 of the target cable tray within the raw material analysis period is calculated by the formula, and the specific formula is as follows:

[0073] , where the raw material analysis time is obtained by adding the time t1, t2 and t3 and taking the average value. At the same time, the raw material analysis time can also be pre-set to one week, one month, etc.;

[0074] Obtain the mass ratio between the production raw materials corresponding to the target cable tray, and record the mass ratio as α1:α2:...:αn, where n is the number of the production raw material corresponding to the target cable tray;

[0075] By multiplying the estimated manufacturing volume by the mass ratio between the corresponding production raw materials of the target cable tray, the estimated raw material mass of the production raw materials required for the target cable tray within the raw material analysis time is calculated, for example, α1×ZZL0 represents the estimated raw material mass of the first production raw material, α2×ZZL0 represents the estimated raw material mass of the second production raw material, etc.;

[0076] Obtain the raw material quality of the target cable tray corresponding to the production raw materials in the raw material warehouse;

[0077] If the estimated raw material quality corresponding to the target cable tray is less than or equal to the raw material quality, the purchase operation of the production raw materials of the corresponding type of the target cable tray will not be performed;

[0078] If the mass of any estimated raw material in the target cable tray is greater than the raw material mass, the mass difference of the corresponding production raw material in the target cable tray within the raw material analysis time is obtained by subtracting the raw material mass from the estimated raw material mass, and the corresponding production raw material in the target cable tray is marked as the raw material to be purchased;

[0079] In the above analysis process, if the quality difference is obtained through analysis, the raw material analysis module sends the quality difference of the raw materials to be purchased to the comprehensive procurement module;

[0080] The database is connected to the comprehensive procurement module, and the database is used to store the supply data of suppliers of different production materials, and send the supply data to the comprehensive procurement module, the supply data includes the unit price of the production materials sold by the supplier and the current sales volume of the raw materials, the transportation distance between the supplier and the raw material warehouse, and the number of supplier defaults; in the present invention, the unit price of the raw materials is the price per ton of production materials, the transportation distance between the supplier and the raw material warehouse refers to the driving distance rather than the straight-line distance, and the number of supplier defaults refers to the number of times the supplier is overdue for more than one day when distributing production materials; the comprehensive procurement module is used to select the supplier of production materials corresponding to the target cable distribution tray, and the selection process is as follows:

[0081] Obtaining optional suppliers from the database based on the raw materials to be purchased. It should be noted that the optional suppliers refer to the production raw materials sold by the suppliers that can be used to produce the target cable tray;

[0082] Then, the quality difference of the raw materials to be purchased is obtained. If the current sales volume of the raw materials of the supplier is greater than or equal to the quality difference of the raw materials to be purchased, the next step is entered. If the current sales volume of the raw materials of the supplier is less than the quality difference of the raw materials to be purchased, no operation is performed.

[0083] Obtain the raw material unit price YDJ and the number of defaults WY of the supplier's corresponding production raw materials, as well as the transportation distance YSJ between the supplier and the raw material warehouse;

[0084] The supplier's purchasing priority value CGY is calculated using the formula, which is as follows:

[0085] , where e is a natural constant, B1, B2 and B3 are all proportional coefficients greater than 0, and e is a natural constant;

[0086] Select the supplier with the largest purchase priority value as the target supplier of the raw materials to be purchased;

[0087] The comprehensive procurement module sends the target supplier of the raw materials to be purchased to the server, and the server purchases the production raw materials of corresponding quality according to the quality difference. In practice, an order for the production raw materials is sent to the target supplier, and the target supplier dispatches the corresponding production raw materials to the raw material warehouse according to the order;

[0088] Since the present embodiment adopts the above technical solution, the production model of the target cable tray can be identified by the model identification module, and the preset production information corresponding to the target cable tray is obtained and sent to the preliminary analysis module and the raw material analysis module. Then, the preliminary analysis module is used to perform a preliminary analysis on the production raw materials corresponding to the target cable tray in the raw material warehouse. If the analysis generates a storage replenishment signal, the manufacturing volume of the target cable tray in different time periods in the past is obtained and sent to the raw material analysis module. The raw material analysis module is used to analyze the production raw materials of the target cable tray in the raw material warehouse. If the quality difference of the raw materials to be purchased is obtained by the analysis, it is sent to the comprehensive procurement module. Finally, the supplier of the production raw materials corresponding to the target cable tray is selected through the comprehensive procurement module.

[0089] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value. Example

[0090] See also Figure 2 As shown, based on another concept of the same invention, the present invention also proposes an intelligent management method for cable production raw material storage based on artificial intelligence, the method comprises the following steps:

[0091] Step S101, the input terminal inputs the production model of the target cable tray and sends it to the model identification module, the model identification module identifies the production model of the target cable tray, obtains the preset production information corresponding to the target cable tray and sends it to the preliminary analysis module and the raw material analysis module;

[0092] Step S102, the data acquisition module obtains the raw material quality of the target cable tray corresponding to the production raw material in the raw material warehouse in real time and sends it to the preliminary analysis module, and the preliminary analysis module performs preliminary analysis on the production raw material corresponding to the target cable tray in the raw material warehouse;

[0093] Step S103: if the analysis generates a storage replenishment signal, it is sent to the server. The server generates a collection instruction based on the storage replenishment signal and loads it into the data collection module. The data collection module also obtains the manufacturing volume of the target cable distribution tray in different time periods in the past and sends it to the raw material analysis module.

[0094] Step S104, the raw material analysis module analyzes the production raw materials of the target cable tray in the raw material warehouse, and if the quality difference of the raw materials to be purchased is obtained through the analysis, the raw material analysis module sends it to the comprehensive procurement module;

[0095] Step S105, the comprehensive procurement module selects the supplier of the production materials corresponding to the target cable tray, selects the target supplier of the raw materials to be purchased and sends them to the server, and the server purchases the production materials of corresponding quality according to the quality difference.

[0096] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. The intelligent management system for cable tray raw material storage based on artificial intelligence is characterized by: It includes a server, a database, an input terminal, a model identification module, a data acquisition module, a preliminary analysis module, a raw material analysis module and a comprehensive procurement module. The data acquisition module is connected to a raw material warehouse, which is used to store the production raw materials of cable trays of different models; The input terminal is used to input the production model of the target cable tray, and send the production model of the target cable tray to the model identification module; the database is used to store the production material table of cable trays of different preset models; The model identification module is used to identify the production model of the target cable distribution tray input by the input terminal, and sends the preset production information corresponding to the target cable distribution tray obtained by identification to the preliminary analysis module and the raw material analysis module; The identification process of the model identification module is as follows: Matching the production model of the target cable distribution tray with the preset model of the cable distribution tray stored in the database; If pairing is not successful, no operation will be performed; If the pairing is successful, the preset production information corresponding to the target cable distribution panel is obtained according to the preset model; The data acquisition module is used to obtain the raw material quality of the target cable tray corresponding to the production raw materials in the raw material warehouse in real time, and send the raw material quality of the corresponding production raw materials to the preliminary analysis module; the preliminary analysis module is used to perform preliminary analysis on the production raw materials corresponding to the target cable tray in the raw material warehouse. If the analysis generates a storage replenishment signal, the preliminary analysis module sends the storage replenishment signal to the server, and the server generates a collection instruction based on the storage replenishment signal and loads it into the data acquisition module; The preliminary analysis process of the preliminary analysis module is as follows: Obtain the raw material quality of the target cable tray corresponding to the production raw materials in the raw material warehouse; Compare the raw material quality of the corresponding production raw materials of the cable tray with the corresponding raw material inventory alarm quantity; If the raw material quality of the target cable distribution tray corresponding to the production raw material is greater than the corresponding raw material inventory alarm quantity, no operation will be performed; If the raw material quality of any production raw material in the target cable distribution tray is less than or equal to the raw material inventory alarm quantity, a storage replenishment signal is generated; The data acquisition module is also used to obtain the manufacturing volume of the target cable tray at different time periods in the past, and send the manufacturing volume of the target cable tray at different time periods in the past to the raw material analysis module; the raw material analysis module is used to analyze the production raw materials of the target cable tray in the raw material warehouse, and if the quality difference is obtained by the analysis, the raw material analysis module sends the quality difference of the raw materials to be purchased to the comprehensive procurement module; The analysis process of the raw material analysis module is as follows: Obtain the manufacturing volumes of the target cable distribution panel in the past at different time lengths t1, t2, and t3, respectively, and record the manufacturing volumes as ZZL1, ZZL2, and ZZL3, respectively; The estimated manufacturing volume ZZL0 of the target cable tray within the raw material analysis period is calculated by the formula, which is as follows: ； Obtain the mass ratio between the production raw materials corresponding to the target cable tray, and record the mass ratio as α1:α2:...:αn, where n is the number of the production raw material corresponding to the target cable tray; The estimated raw material mass required for the target cable tray within the raw material analysis time is calculated by multiplying the estimated manufacturing volume by the mass ratio between the corresponding production raw materials of the target cable tray; Obtain the raw material quality of the target cable tray corresponding to the production raw materials in the raw material warehouse; If the estimated raw material quality corresponding to the target cable tray is less than or equal to the raw material quality, the purchase operation of the production raw materials of the corresponding type of the target cable tray will not be performed; If the mass of any estimated raw material in the target cable tray is greater than the raw material mass, the mass difference of the corresponding production raw material in the target cable tray within the raw material analysis time is obtained by subtracting the raw material mass from the estimated raw material mass, and the corresponding production raw material in the target cable tray is marked as the raw material to be purchased; The database is used to store the supply data of suppliers of different production materials, and send the supply data to the comprehensive procurement module; the comprehensive procurement module is used to select the supplier of production materials corresponding to the target cable distribution tray, select the target supplier of the raw materials to be purchased and send it to the server, and the server purchases the production materials of corresponding quality according to the quality difference; The working process of the comprehensive procurement module is as follows: Obtaining optional suppliers from the database based on the raw materials to be purchased; Then, the quality difference of the raw materials to be purchased is obtained. If the current sales volume of the raw materials of the supplier is less than the quality difference of the raw materials to be purchased, no operation is performed; If the current sales volume of the supplier's raw materials is greater than or equal to the quality difference of the raw materials to be purchased, the unit price YDJ and the number of breaches WY of the corresponding production raw materials of the supplier, as well as the transportation distance YSJ between the supplier and the raw material warehouse are obtained; Then the supplier's purchasing priority value CGY is calculated by the formula, the formula is as follows: , where e is a natural constant, and B1, B2 and B3 are all proportional coefficients greater than 0; Select the supplier with the largest purchase priority value as the target supplier of the raw materials to be purchased.

2. According to the artificial intelligence-based cable tray raw material storage intelligent management system of claim 1, it is characterized in that: The cable raw material table includes preset production information of different cable trays, and the preset production information is the production raw materials required to manufacture the preset model of cable trays and the mass ratio between the production raw materials.

3. The cable tray raw material storage intelligent management system based on artificial intelligence according to claim 1 is characterized in that: The raw material analysis duration is obtained by adding up the different durations in the past and taking the average value.

4. The cable tray raw material storage intelligent management system based on artificial intelligence according to claim 1 is characterized in that: Supply data includes the unit price of raw materials sold by suppliers, the current sales volume of raw materials, the transportation distance between the supplier and the raw material warehouse, and the number of defaults by the supplier.

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