Rule reasoning-based multi-layer storage beam intelligent storage recommendation system and method, and medium

Abstract

The invention relates to the field of multi-layer beam storage intelligent storage recommendation of a beam manufacturing field, and discloses a multi-layer beam storage intelligent storage recommendation system and method based on rule reasoning and a medium. The system comprises an information confirmation module which is used for confirming the beam plate type of a to-be-stored beam plate, a planned beam erection date, production line information and erection working face information; the beam storage area confirmation module is used for confirming a beam storage area of the to-be-stored beam plate; the available pedestal query module is used for retrieving an available pedestal in a beam storage area of a to-be-stored beam plate and retrieving beam storage information of a next layer in a to-be-stored storage location in the available pedestal; and the screening module is used for calculating a comprehensive score of each storage position for storage in the available pedestal by using a multi-layer beam storage intelligent storage recommendation algorithm based on rule reasoning, and determining an optimal storage position for storing beams and slabs to be stored according to a comprehensive score result. According to the method, the beam storage efficiency of the precast beam yard is improved, the beam reversing and pressing cost is reduced, and informatization and intelligentization construction of the intelligent beam yard is promoted.

Description

Technical Field

[0001] The present invention relates to the field of multi-layer beam storage intelligent storage recommendation in a prefabricated beam yard, and in particular to a multi-layer beam storage intelligent storage recommendation system and method and medium based on rule reasoning. Background Art

[0002] At present, the construction of prefabricated bridges in my country is in full swing, among which prefabricated beams are widely used in highways. After the prefabricated beams are produced, they need to be temporarily stacked on site, and the storage time is generally no more than 90 days. When the beams are erected, they need to be transported by gun carriage. However, due to the high time pressure of engineering construction, some construction personnel lack professional training and guidance, and do not understand the correct methods and requirements for storing beams. As a result, they only rely on experience or habit in the process of storing beams, and the phenomenon of random storage often occurs, which leads to time-consuming and laborious search for beams when erecting beams. At the same time, due to the existence of multiple layers of beam storage, it is difficult to consider the impact of storage in storage locations on the subsequent storage of prefabricated beams from a global perspective, resulting in the beams that need to be shipped earlier being pressed under the beams that are shipped later. When shipping, the beams stacked on them need to be overturned to other locations, which will cause subsequent secondary beam collapses, which not only seriously affects the efficiency of beam delivery, but also increases the cost of beam delivery. Summary of the invention

[0003] The purpose of the present invention is to overcome the problem of random storage in the existing beam storage process, which leads to time-consuming subsequent beam retrieval and secondary beam toppling, and to provide a multi-layer beam storage intelligent storage recommendation system and method and medium based on rule reasoning. The invention can realize multi-layer beam storage intelligent storage recommendation in prefabricated beam yards, improve the efficiency of beam storage in prefabricated beam yards, and reduce the cost of beam toppling and pressing.

[0004] In order to achieve the above-mentioned object, the present invention provides, on one hand, a multi-layer beam storage intelligent storage recommendation system based on rule reasoning, which includes an information confirmation module, a beam storage area confirmation module, an available pedestal query module and a screening module;

[0005] The information confirmation module is used to confirm the beam type, planned beam erection date, production line information and erection working surface information of the beam to be stored according to the ID information of the beam to be stored;

[0006] The beam storage area confirmation module is used to confirm the beam storage area of ​​the beam slab to be stored according to the production line information of the beam slab to be stored;

[0007] The available pedestal query module is used to retrieve available pedestals in the beam storage area of ​​the beam slab to be stored according to the beam slab type of the beam slab to be stored, and retrieve the next layer of stored beam information in the storage location to be stored in the available pedestal;

[0008] The screening module is used to calculate the comprehensive score of each storage location to be stored in the available pedestal when there are stored beams in the next layer in the storage location to be stored in the available pedestal, based on the planned beam erection date of the beam slab to be stored, the erection working surface information of the beam slab to be stored and the next layer of stored beam information in the storage location to be stored, using a rule-based reasoning multi-layer beam storage intelligent storage recommendation algorithm, and determine the optimal storage location for storing the beam slab to be stored according to the comprehensive scoring result.

[0009] Preferably, the information of the next layer of stored beams in the storage location to be stored includes the quantity information of the next layer of stored beams, the concrete pouring date of the next layer of stored beams and slabs, the planned beam erection date and the shortest age of stored beams.

[0010] Preferably, a multi-layer intelligent storage recommendation algorithm for beam storage based on rule reasoning is used to calculate the comprehensive score of each storage location to be stored in the available pedestal, and the specific steps of determining the optimal storage location for storing the beams and slabs to be stored based on the comprehensive score results include: using the influencing factor A1 and the influencing factor weight B1 based on the next layer of beam casting age verification rule, the influencing factor A2 and the influencing factor weight B2 based on the erection working surface verification rule, the influencing factor A3 and the influencing factor weight B3 based on the next layer of beam erection time difference rule, the influencing factor A4 and the influencing factor weight B4 based on the pedestal priority rule, and the influencing factor A5 and the influencing factor weight B5 based on the storage location priority rule, to calculate the comprehensive score of each storage location to be stored in the available pedestal, and take the one with the highest comprehensive score as the optimal storage location for storing the beams and slabs to be stored.

[0011] Preferably, the formula for calculating the comprehensive score of each storage location to be stored in the available pedestal is as follows using the multi-layer beam storage intelligent storage recommendation algorithm based on rule reasoning:

[0012] A i =(A1*B1+A2*B2+A3*B3+A4*B4+A5*B5)*[A1]*[A2]*100%

[0013] In the formula, A i is the comprehensive score of the i-th storage location to be stored in the available platform, i = 1, 2, ... N, N is the total number of storage locations to be stored in the available platform; [A1] represents the upward rounding function of A1; [A2] represents the upward rounding function of A2.

[0014] Preferably, the method for determining the influencing factor A1 and the influencing factor weight B1 based on the verification rule for the casting age of the next layer of beams includes:

[0015] Calculate the existing beam age of the next layer of existing beams and slabs. The existing beam age of the next layer of existing beams and slabs = current date - concrete pouring date of the next layer of existing beams and slabs. When the existing beam age of the next layer of existing beams and slabs is less than the shortest existing beam age of the next layer of existing beams and slabs, A1 = 0, B1 = S1. When the existing beam age of the next layer of existing beams and slabs is greater than or equal to the shortest existing beam age of the next layer of existing beams and slabs, A1 = S2, B1 = S1.

[0016] The determination method of the influencing factor A2 and the influencing factor weight B2 based on the setting working face verification rule includes:

[0017] When the erection working surface of the beam-slab to be stored is different from the erection working surface of the existing beam-slab in the area where the beams need to be stored, A2=0, B2=S3; when the erection working surface of the beam-slab to be stored is the same as the erection working surface of the existing beam-slab in the area where the beams need to be stored, A2=S4, B2=S3.

[0018] Preferably, the method for determining the influencing factor A3 and the influencing factor weight B3 based on the time difference rule for erecting the next layer of beams includes:

[0019] Calculate the difference X between the beam erection time of the next layer of existing beams and the beams to be stored, where X = the planned beam erection date of the next layer of existing beams - the planned beam erection date of the beams to be stored. When X≥0, A3=S5, B3=S6. When X<0, A3=1+1 / L*X, where L represents the longest beam age of the next layer of existing beams, and B3=S6.

[0020] Preferably, the method for determining the influence factor A4 and the influence factor weight B4 based on the pedestal priority rule includes:

[0021] Each pedestal in the beam storage area of ​​the beam slab to be stored is numbered in sequence, then A4 = [1-(X1-1) / M], where X1 represents the number of the available pedestal, M represents the total number of all pedestals in the beam storage area of ​​the beam slab to be stored, and B4 = S7;

[0022] The determination method of the impact factor A5 and the impact factor weight B5 based on the storage location priority rule includes:

[0023] Retrieve the storage position T where the beam slab closest to the beam slab to be stored is located during beam erection, and calculate the number of storage positions X2 between the storage position to be stored and storage position T, then A5=1-X2 / N. When the storage position to be stored and storage position T are located on different pedestals, X2=N, B5=S8.

[0024] Preferably, the screening module is used to calculate the comprehensive score of each storage location to be stored in the available pedestal by using the rule-based reasoning multi-layer intelligent storage recommendation algorithm when there is no stored beam in the next layer of the storage location to be stored in the available pedestal, and determine the optimal storage location for storing the beam slab to be stored according to the comprehensive score result;

[0025] The rule-based reasoning multi-layer intelligent storage recommendation algorithm for beam storage is used to calculate the comprehensive score of each storage location to be stored in the available pedestal. The specific steps of determining the optimal storage location for storing the beams and slabs to be stored according to the comprehensive score result include: using the influence factor A1 and the influence factor weight B1 based on the next layer of beam casting age verification rule, the influence factor A2 and the influence factor weight B2 based on the erection working surface verification rule, the influence factor A3 and the influence factor weight B3 based on the next layer of beam erection time difference rule, the influence factor A4 and the influence factor weight B4 based on the pedestal priority rule, and the influence factor A5 and the influence factor weight B5 based on the storage location priority rule, to calculate the comprehensive score of each storage location to be stored in the available pedestal, and take the one with the highest comprehensive score as the optimal storage location for storing the beams and slabs to be stored;

[0026] Using the rule-based reasoning multi-layer beam storage intelligent storage recommendation algorithm, the calculation formula for calculating the comprehensive score of each storage location to be stored in the available platform is as follows:

[0027] A i =(A1*B1+A2*B2+A3*B3+A4*B4+A5*B5)*[A1]*[A2]*100%

[0028] In the formula, A i is the comprehensive score of the i-th storage location to be stored in the available platform, i = 1, 2, ... N, N is the total number of storage locations to be stored in the available platform; [A1] represents the upward rounding function of A1; [A2] represents the upward rounding function of A2; A1 = S9, B1 = S1; A3 = S 10 , B3=S6;

[0029] The determination method of the influencing factor A2 and the influencing factor weight B2 based on the setting working face verification rule includes:

[0030] When there are stored beams in the area to be stored, when the erection working surface of the beam slab to be stored is different from the erection working surface of the existing beam slab in the area to be stored, A2=0, B2=S3; when the erection working surface of the beam slab to be stored is the same as the erection working surface of the existing beam slab in the area to be stored, A2=S4, B2=S3;

[0031] When there is no beam stored in the area where beams need to be stored, A2 = S 11 , B2=S3;

[0032] The determination method of the impact factor A4 and the impact factor weight B4 based on the pedestal priority rule includes:

[0033] Each pedestal in the beam storage area of ​​the beam slab to be stored is numbered in sequence, then A4 = [1-(X1-1) / M], where X1 represents the number of the available pedestal, M represents the total number of all pedestals in the beam storage area of ​​the beam slab to be stored, and B4 = S7;

[0034] The determination method of the impact factor A5 and the impact factor weight B5 based on the storage location priority rule includes:

[0035] Retrieve the storage position T where the beam slab closest to the beam slab to be stored is located during beam erection, and calculate the number of storage positions X2 between the storage position to be stored and storage position T, then A5=1-X2 / N. When the storage position to be stored and storage position T are located on different pedestals, X2=N, B5=S8.

[0036] A second aspect of the present invention provides a multi-layer beam storage intelligent storage recommendation method based on rule reasoning, the method comprising the following steps:

[0037] Confirm the beam type, planned beam erection date, production line information and erection working surface information of the beam to be stored according to the ID information of the beam to be stored;

[0038] Confirm the storage area of ​​the beam slab to be stored according to the production line information of the beam slab to be stored;

[0039] Retrieve available pedestals in the area where the beams to be stored are to be stored according to the type of the beams to be stored, and retrieve the next layer of stored beam information in the storage location to be stored in the available pedestals;

[0040] When there are stored beams in the next layer of the storage location to be stored in the available pedestal, based on the planned beam erection date of the beam slab to be stored, the erection working surface information of the beam slab to be stored and the information of the next layer of stored beams in the storage location to be stored, the rule-based reasoning multi-layer beam storage intelligent storage recommendation algorithm is used to calculate the comprehensive score of each storage location to be stored in the available pedestal, and the optimal storage location for storing the beam slab to be stored is determined according to the comprehensive scoring results.

[0041] A third aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0042] The beneficial effects of the present invention are as follows:

[0043] The present invention obtains the corresponding beam production information through the name of the beam to be stored, determines the area where the beam needs to be stored, retrieves the available pedestal space information and the next layer of beam storage information, and then makes multi-layer intelligent storage recommendations for beam storage based on rule reasoning, calculates the comprehensive score of the storage location, and outputs the recommended optimal storage location for beam storage. Compared with the traditional manual random beam storage and stacking, the present invention realizes the multi-layer intelligent storage recommendation for beam storage in the prefabricated beam yard, improves the efficiency of beam storage in the prefabricated beam yard, reduces the cost of beam inversion and pressure, and promotes the information and intelligent construction of the smart beam yard. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a structural diagram of the multi-layer beam storage intelligent storage recommendation system based on rule reasoning of the present invention;

[0045] Figure 2 It is a schematic diagram of the multi-layer beam storage intelligent warehousing of the present invention;

[0046] Figure 3 It is a plan layout diagram of a beam production line and a beam storage plant area of ​​the present invention;

[0047] Figure 4 It is a flow chart of the multi-layer beam intelligent storage recommendation method based on rule reasoning of the present invention. DETAILED DESCRIPTION

[0048] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific implementation described herein is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0049] The endpoints and any values ​​of the ranges disclosed in this article are not limited to the precise ranges or values, and these ranges or values ​​should be understood to include values ​​close to these ranges or values. For numerical ranges, the endpoint values ​​of each range, the endpoint values ​​of each range and the individual point values, and the individual point values ​​can be combined with each other to obtain one or more new numerical ranges, which should be considered as specifically disclosed in this article.

[0050] Example 1

[0051] like Figure 1 The multi-layer beam storage intelligent storage recommendation system based on rule reasoning is shown in FIG. Figure 2 As shown), the system includes an information confirmation module, a beam storage area confirmation module, an available pedestal query module and a screening module;

[0052] The information confirmation module is used to confirm the beam type, planned beam erection date, production line information and erection working surface information of the beam to be stored according to the ID information of the beam to be stored;

[0053] The beam storage area confirmation module is used to confirm the beam storage area of ​​the beam slab to be stored according to the production line information of the beam slab to be stored;

[0054] The available pedestal query module is used to retrieve the available pedestals in the beam storage area of ​​the beam slab to be stored according to the beam slab type of the beam slab to be stored, and retrieve the next layer of stored beam information in the storage location to be stored in the available pedestals;

[0055] The screening module is used to calculate the comprehensive score of each storage location to be stored in the available pedestal when there are stored beams in the next layer of the storage location in the available pedestal, based on the planned beam erection date of the beam slab to be stored, the erection working surface information of the beam slab to be stored, and the information of the next layer of stored beams in the storage location to be stored, using a rule-based reasoning multi-layer beam storage intelligent storage recommendation algorithm, and determine the optimal storage location for storing the beam slab to be stored based on the comprehensive scoring results.

[0056] The beams and slabs of the present invention refer to prefabricated beams. Each beam and slab carries the following attribute information after it is produced: beam and slab type (Type), concrete pouring time (Pouring time), planned beam erection date (Erection time, which can be obtained according to the specific production plan), production line information (Line), erection working surface information (Working face), etc. The beam and slab ID information is similar to the ID number of an identity card, which serves as a label for identifying the beam and slab. Therefore, the corresponding beam and slab properties (Beamproperties) can be obtained according to the ID information of the beam and slab.

[0057] That is, Beamproperties={Type, Pouring time, Erection time, Line, Working face}

[0058] In a specific implementation, using this system, the user enters the name of the beam and slab to be stored in the computer, APP or mini-program dialog box. After the system of the present invention obtains the ID information of the beam and slab to be stored entered by the user, it can obtain the corresponding information of the beam and slab to be stored based on the ID information of the beam and slab to be stored.

[0059] In the present invention, after the beam type, planned beam erection date, production line information and erection work surface information of the beam to be stored are confirmed according to the ID information of the beam to be stored, the beam storage area corresponding to the beam to be stored can be matched according to the production line information and the correspondence between the production line and the beam storage area. Because at a specific construction site, the beam storage area and the production line are in a one-to-many relationship, and one production line will only match one beam storage area. After confirming the production line information of the beam to be stored, it can be confirmed in which beam storage area the beam to be stored needs to be stored.

[0060] That is, the beam storage area = {production line 1, production line 2... production line n}

[0061] In the beam storage area, since not all pedestals can be used to store beams to be stored, it is necessary to first confirm which available pedestals are in the beam storage area for the beams to be stored according to the beam type of the beams to be stored (the production line information can be confirmed according to the beam type, and then the beam storage area can be confirmed, and the corresponding beam storage area can be retrieved to find which pedestals have empty spaces that can be used to store beams, which are the available pedestals), and then further search and confirm which available storage locations to be stored are in these available pedestals, and then search and query the next layer of beam storage information in the storage locations to be stored in these available pedestals.

[0062] In the present invention, the information of the next layer of stored beams in the storage location to be stored includes the quantity information of the next layer of stored beams (at the specific construction site, the storage and retrieval of beams and slabs have corresponding construction records, and by querying these construction records, the number of stored beams and slabs in the next layer in the storage location to be stored can be confirmed, and then whether the next layer in the storage location to be stored already has beams and slabs), the concrete pouring date of the next layer of stored beams and slabs, the planned beam erection date of the next layer of stored beams and slabs (these can also be obtained based on the ID information of the next layer of stored beams and slabs) and the shortest storage age of the next layer of stored beams and slabs (the shortest storage age refers to the shortest time that the beams and slabs need to be stored, which is the information confirmed in advance for configuration input).

[0063] In the present invention, since there are multiple layers of storage space in a storage location to be stored, the beams and slabs to be stored will actually be stored in a certain layer of storage space in the storage location to be stored. Therefore, the next layer in the storage location to be stored refers to the next layer of storage space in the storage location to be stored, which is used to store the beams and slabs to be stored. The next layer of beam storage information is the relevant information of the beams and slabs stored in the next layer of storage space.

[0064] In a preferred embodiment, a multi-layer intelligent storage recommendation algorithm for beam storage based on rule reasoning is used to calculate the comprehensive score of each storage location to be stored in the available pedestal, and the specific steps of determining the optimal storage location for storing the beams and slabs to be stored based on the comprehensive score results include: using the influencing factor A1 and the influencing factor weight B1 based on the next layer of beam casting age verification rule, the influencing factor A2 and the influencing factor weight B2 based on the erection working surface verification rule, the influencing factor A3 and the influencing factor weight B3 based on the next layer of beam erection time difference rule, the influencing factor A4 and the influencing factor weight B4 based on the pedestal priority rule, and the influencing factor A5 and the influencing factor weight B5 based on the storage location priority rule, to calculate the comprehensive score of each storage location to be stored in the available pedestal, and use the one with the highest comprehensive score as the optimal storage location for storing the beams and slabs to be stored.

[0065] Furthermore, the rule-based reasoning multi-layer beam storage intelligent storage recommendation algorithm in the present invention is an artificial intelligence algorithm precipitated based on construction experience, wherein the rule-based reasoning multi-layer beam storage intelligent storage recommendation algorithm is used to calculate the comprehensive score of each storage location to be stored in the available pedestal using the following calculation formula:

[0066] A i =(A1*B1+A2*B2+A3*B3+A4*B4+A5*B5)*[A1]*[A2]*100%

[0067] In the formula, A i is the comprehensive score of the i-th storage location to be stored in the available platform, i = 1, 2, ... N, N is the total number of storage locations to be stored in the available platform; [A1] represents the upward rounding function of A1, when A1 is greater than 0, it takes 1, and when it is equal to 0, it indicates direct rejection; [A2] represents the upward rounding function of A2, when A2 is greater than 0, it takes 1, and when it is equal to 0, it indicates direct rejection.

[0068] That is, the optimal storage location = max{A1,A2...A i ……A N}.

[0069] In a specific implementation, the method for determining the influencing factor A1 and the influencing factor weight B1 based on the next layer beam casting age verification rule includes:

[0070] When there are stored beams in the next layer of storage spaces in the available pedestal, calculate the age of the stored beams of the next layer, the age of the beams of the next layer = current date - concrete pouring date of the next layer of stored beams; when the age of the beams of the next layer < the shortest age of the beams of the next layer, A1 = 0 (this means that the pouring age of the beams of the next layer does not meet the standard and should not be recommended), B1 = S1; when the age of the beams of the next layer ≥ the shortest age of the beams of the next layer, A1 = S2, B1 = S1; in the preferred case, the value of S1 is 0.2 and the value of S2 is 1.

[0071] The above rules are intended to verify whether the casting age of the next layer of existing beams and slabs meets the standards. The above judgment method is used to ensure that the beam age of the next layer of existing beams and slabs reaches the shortest beam age before the beams can be pressed.

[0072] In a specific implementation, the method for determining the influencing factor A2 and the influencing factor weight B2 based on the setting working surface verification rule includes:

[0073] When there are stored beams in the next layer of the storage position in the available pedestal, when the erection working surface of the beam slab to be stored is different from the erection working surface of the existing beam slab in the beam storage area to be stored, A2=0 (this situation is not recommended), B2=S3; when the erection working surface of the beam slab to be stored is the same as the erection working surface of the existing beam slab in the beam storage area to be stored, A2=S4, B2=S3; in a preferred embodiment, the value of S3 is 0.1, and the value of S4 is 1 (whether they belong to the same erection working surface is determined according to the erection order of the erection tools).

[0074] Based on the beam erection requirements, usually the erection working surfaces of existing beams and slabs in a beam storage area are the same. Therefore, in a specific implementation method, the erection working surface of the beam and slab to be stored can be compared with the erection working surface of an existing beam and slab in the beam storage area to confirm whether the erection working surface of the beam and slab to be stored is the same as the erection working surface of the existing beam and slab in the beam storage area.

[0075] The above rules are used to verify whether the beams and slabs in the same storage location to be stored belong to the same erection working surface. The above judgment method is used to ensure that the beams and slabs stored in the same storage location to be stored belong to the same erection working surface.

[0076] In a specific implementation, the method for determining the influencing factor A3 and the influencing factor weight B3 based on the time difference rule for erecting the next layer of beams includes:

[0077] When there are stored beams in the next layer of storage positions in the available pedestal, calculate the difference X between the erection time of the stored beams and the beams to be stored in the next layer, X=the planned erection date of the stored beams in the next layer-the planned erection date of the beams to be stored. When X≥0, it indicates that the stored beams in the next layer are erected later than the beams to be stored. At this time, A3=S5, B3=S6. When X<0, it indicates that the stored beams in the next layer are erected earlier than the beams to be stored, which will cause beam compression. Then, the beams with a small time difference are selected for beam compression. At this time, A3=1+1 / L*X, where L represents the longest storage age of the stored beams in the next layer (the longest storage age refers to the longest storage time of the beams, which is also the information confirmed in advance for configuration input), and B3=S6. In the preferred case, the value of S5 is 1 and the value of S6 is 0.3.

[0078] The above rules are intended to determine the time difference for erecting the next layer of beams to ensure that beams and slabs stored in the same storage location do not press beams or avoid frequent pressing or falling beams.

[0079] In a specific implementation, the method for determining the influence factor A4 and the influence factor weight B4 based on the pedestal priority rule includes:

[0080] Each pedestal in the beam storage area of ​​the beam slab to be stored is numbered in sequence (for the construction site, the production line, beam storage area, pedestals and storage locations will be numbered in sequence), then A4 = [1-(X1-1) / M], where X1 represents the number of the available pedestal, X1 = 1, 2, ..., M, M represents the total number of all pedestals in the beam storage area of ​​the beam slab to be stored, B4 = S7, and in the preferred case, the value of S7 is 0.2.

[0081] The purpose of the above operation is to distinguish the pedestal priority according to the defined pedestal sequence number, so that the beams and slabs to be stored can be stored in sequence according to the pedestal sequence number.

[0082] In a specific implementation, the method for determining the influencing factor A5 and the influencing factor weight B5 based on the storage location priority rule includes:

[0083] Retrieve the storage location T of the beam slab that is closest to the beam slab to be stored when the beam is erected (for beam slabs, they all have a span sequence number, and the construction is carried out according to this span sequence number when the beam is erected, so according to the span sequence number and the storage and retrieval records of the beam slab, find the storage location T of the beam slab that is closest to the beam slab to be stored when the beam is erected; for example, when beam No. 2 of the 1st unit-1st span is to be stored, the beam No. 1 of the 1st unit-1st span is closest to it when the beam is erected, and beam No. 1 of the 1st unit-1st span is already stored in the storage location, then the beam No. 1 of the 1st unit-1st span-1 will be retrieved The storage position T where the No. 1 beam is located; if the nearest beam slab has not been stored in the storage position, it is assumed that the nearest beam slab is to be stored in the No. 1 storage position of the available pedestal, that is, when the nearest beam slab has not been stored in the storage position, the storage position T at this time is the No. 1 storage position of the available pedestal), calculate the number of storage positions X2 between the storage position to be stored and the storage position T, then A5=1-X2 / N, X2=0, 1, ..., N, among which when the storage position to be stored and the storage position T are located on different pedestals, X2=N, B5=S8, and in the preferred case, the value of S8 is 0.2.

[0084] The above operation is to ensure that adjacent beams and slabs of the same span are stored in adjacent positions on the same pedestal.

[0085] Furthermore, the screening module is used to calculate the comprehensive score of each storage location to be stored in the available pedestal when there is no stored beam in the next layer of the storage location to be stored in the available pedestal, using the rule-based reasoning multi-layer beam storage intelligent storage recommendation algorithm, and determine the optimal storage location for storing the beams to be stored based on the comprehensive scoring results.

[0086] Similarly, a multi-layer intelligent storage recommendation algorithm for beam storage based on rule reasoning is used to calculate the comprehensive score of each storage location to be stored in the available pedestal. The specific steps of determining the optimal storage location for storing the beams and slabs to be stored based on the comprehensive score result include: using the influencing factor A1 and the influencing factor weight B1 based on the next layer of beam casting age verification rule, the influencing factor A2 and the influencing factor weight B2 based on the erection working surface verification rule, the influencing factor A3 and the influencing factor weight B3 based on the next layer of beam erection time difference rule, the influencing factor A4 and the influencing factor weight B4 based on the pedestal priority rule, and the influencing factor A5 and the influencing factor weight B5 based on the storage location priority rule, to calculate the comprehensive score of each storage location to be stored in the available pedestal, and use the one with the highest comprehensive score as the optimal storage location for storing the beams and slabs to be stored.

[0087] Furthermore, using the rule-based reasoning multi-layer beam storage intelligent storage recommendation algorithm, the calculation formula for calculating the comprehensive score of each storage location to be stored in the available pedestal is as follows:

[0088] A i =(A1*B1+A2*B2+A3*B3+A4*B4+A5*B5)*[A1]*[A2]*100%

[0089] In the formula, A i is the comprehensive score of the i-th storage location to be stored in the available pedestal, i = 1, 2, ... N, N is the total number of storage locations to be stored in the available pedestal; [A1] represents the upward rounding function of A1, when A1 is greater than 0, it takes 1, and when it is equal to 0, it indicates direct rejection; [A2] represents the upward rounding function of A2, when A2 is greater than 0, it takes 1, and when it is equal to 0, it indicates direct rejection; and when there is no beam stored in the next layer of the storage location to be stored in the available pedestal, A1 = S9, B1 = S1; A3 = S 10 , B3=S6.

[0090] That is, the optimal storage location = max{A1,A2...A N}.

[0091] At this time, in the preferred case, the value of S9 is 1, S 10 The value of is 1.

[0092] The determination method of the influencing factor A2 and the influencing factor weight B2 based on the setting working face verification rule includes:

[0093] When there are stored beams in the area to be stored, when the erection working surface of the beam slab to be stored is different from the erection working surface of the existing beam slab in the area to be stored, A2=0, B2=S3; when the erection working surface of the beam slab to be stored is the same as the erection working surface of the existing beam slab in the area to be stored, A2=S4, B2=S3;

[0094] When there is no beam stored in the area where beams need to be stored, A2 = S 11 , B2=S3, in this case, in the preferred case, S 11 The value of is 1.

[0095] Similarly, at this time, the determination method of the impact factor A4 and the impact factor weight B4 based on the pedestal priority rule includes:

[0096] Each pedestal in the beam storage area of ​​the beam slab to be stored is numbered in sequence (for the construction site, the production line, beam storage area, pedestals and storage locations will be numbered in sequence), then A4 = [1-(X1-1) / M], where X1 represents the number of the available pedestal, X1 = 1, 2, ..., M, M represents the total number of all pedestals in the beam storage area of ​​the beam slab to be stored, B4 = S7, and in the preferred case, the value of S7 is 0.2.

[0097] The purpose of the above operation is to distinguish the pedestal priority according to the defined pedestal sequence number, so that the beams and slabs to be stored can be stored in sequence according to the pedestal sequence number.

[0098] Also in a specific implementation, the method for determining the influencing factor A5 and the influencing factor weight B5 based on the storage location priority rule includes:

[0099] Retrieve the storage location T of the beam slab that is closest to the beam slab to be stored when the beam is erected (for beam slabs, they all have a span sequence number, and the construction is carried out according to this span sequence number when the beam is erected, so according to the span sequence number and the storage and retrieval records of the beam slab, find the storage location T of the beam slab that is closest to the beam slab to be stored when the beam is erected; for example, when beam No. 2 of the 1st unit-1st span is to be stored, the beam No. 1 of the 1st unit-1st span is closest to it when the beam is erected, and beam No. 1 of the 1st unit-1st span is already stored in the storage location, then the beam No. 1 of the 1st unit-1st span-1 will be retrieved The storage position T where the No. 1 beam is located; if the nearest beam slab has not been stored in the storage position, it is assumed that the nearest beam slab is to be stored in the No. 1 storage position of the available pedestal, that is, when the nearest beam slab has not been stored in the storage position, the storage position T at this time is the No. 1 storage position of the available pedestal), calculate the number of storage positions X2 between the storage position to be stored and the storage position T, then A5=1-X2 / N, X2=0, 1, ..., N, among which when the storage position to be stored and the storage position T are located on different pedestals, X2=N, B5=S8, and in the preferred case, the value of S8 is 0.2.

[0100] The above operation is to ensure that adjacent beams and slabs of the same span are stored in adjacent positions on the same pedestal.

[0101] Take a specific beam field as an example. Figure 3 As shown, the entire plant is divided into 5 large areas, 24 production lines, and 5 beam storage areas; North Area 1, North Area 2, South Area 2, and South Area 3: There are 5 production lines, 4 beam storage pedestals, storing 25-meter small box beams, each pedestal has 10 storage locations, and each storage location can store two layers. South Area 1: There are 4 production lines, 3 beam storage pedestals, storing 30-meter small box beams, each pedestal has 10 storage locations, and each storage location can store two layers. Each pedestal and storage location are numbered in sequence.

[0102] Select a bridge, whose span expression is 5*(6*25), that is, 5 sets of 30 spans of 25 meters small box beams, divided into left and right double spans, 5 beams in each span, a total of 300 beams, and the naming method is as follows: bridge name-set-span number-span number-beam number. For example: a certain bridge-1st set-1st span-left span-beam No. 1, a certain bridge-1st set-1st span-left span-beam No. 2, ..., a certain bridge-5th set-30th span-right span-beam No. 5.

[0103] Define erection work surface A: from span 1 to span 30, 0.5 spans are erected every day, and the planned erection deadline is January 30, 2025. The erection order of each span is: left span-beam No. 1, ..., left span-beam No. 7, right span-beam No. 1, ..., right span-beam No. 7. Among them: the left span of the first span is made on the North District 1 production line, the right span of the first span is made on the North District 1 production line, the left span of the second span is made on the South District 2 production line, and the right span of the second span is made on the South District 3 production line. The beam manufacturing starts on October 8, 2024, and the total process time for each beam is 4 days. Each production line can achieve one beam per day.

[0104] Example 1: Take a bridge-1st joint-1st span-left span-No. 1 beam as an example. The beam is manufactured in the North 1 area-No. 1 production line, so the beam needs to be stored in the North 1 area beam storage area. After searching the available pedestal in the beam storage area, there is pedestal No. 1, which has 10 storage locations to be stored. Prefabrication starts on October 8, 2024, and prefabrication is completed on October 12, 2024. The planned date for beam erection is November 30, 2024. The calculation comprehensive scores of different storage locations to be stored are as follows:

[0105] 1) Assuming that the goods are stored in North Zone 1, Platform 1, Storage Location 1, Floor 1, the comprehensive score of Storage Location 1 is calculated as follows:

[0106] ① After searching, there is no next layer in the storage space of this layer, that is, there is no beam stored in the next layer in the storage position, which means that the casting age of the existing beams and slabs in the next layer has reached the standard. At this time, A1=S9=1, B1=S1=0.2;

[0107] ② If there is no beam stored in the beam storage area, it can be considered that the beams and slabs stored in the same beam storage area belong to the same erection working surface. In this case, A2 = S 11 =1, B2=S3=0.1;

[0108] ③ There is no next layer of storage space on this layer, that is, there is no beam stored on the next layer in the storage space. It can be considered that the beams on the next layer are erected later than the beams on the previous layer, and there will be no beam compression. At this time, A3 = S 10 =1, B3=S6=0.3;

[0109] ④ The base sequence number is 1, that is, A4 = [1-(X1-1) / M] = [1-(1-1) / 4] = 1, B4 = S7 = 0.2;

[0110] ⑤ The storage position sequence number is 1. It is found that the beam slab closest to the beam slab to be stored is not stored at this time when the beam is erected, that is, the storage position T at this time is storage position 1, and the number of storage positions between storage position 1 and storage position T is X2=0, that is, A5=1-X2 / N=1-0 / 10=1, B5=S8=0.2;

[0111] Therefore: A1=(A1*B1+A2*B2+A3*B3+A4*B4+A5*B5)*[A1]*[A2]*100%=(1*0.2+1*0.1+1*0.3+1*0.2+1*0.2)*[1]*[1]*100%=100%.

[0112] 2) Assuming that the goods are stored in North Zone 1, Platform 1, Storage Location 2, Floor 1, the comprehensive score of Storage Location 2 is calculated as follows:

[0113] ① After searching, there is no next layer in the storage space of this layer, that is, there is no beam stored in the next layer in the storage position, which means that the casting age of the existing beams and slabs in the next layer has reached the standard. At this time, A1=S9=1, B1=S1=0.2;

[0114] ② If there is no beam stored in the beam storage area, it can be considered that the beams and slabs stored in the same beam storage area belong to the same erection working surface. In this case, A2 = S 11 =1, B2=S3=0.1;

[0115] ③ There is no next layer of storage space on this layer, that is, there is no beam stored on the next layer in the storage space. It can be considered that the beams on the next layer are erected later than the beams on the previous layer, and there will be no beam compression. At this time, A3 = S 10 =1, B3=S6=0.3;

[0116] ④ The base sequence number is 1, that is, A4 = [1-(X1-1) / M] = [1-(1-1) / 4] = 1, B4 = S7 = 0.2;

[0117] ⑤ The storage position sequence number is 2. The search shows that the beam slab closest to the beam slab to be stored is not stored at this time, that is, the storage position T at this time is storage position 1, and the number of storage positions between storage position 2 and storage position T is X2=1, that is, A5=1-X2 / N=1-1 / 10=0.9, B5=S8=0.2;

[0118] Therefore: A2 = (A1*B1+A2*B2+A3*B3+A4*B4+A5*B5)*[A1]*[A2]*100%=(1*0.2+1*0.1+1*0.3+1*0.2+0.9*0.2)*[1]*[1]*100%=98%.

[0119] The same goes for other pedestals...

[0120] After calculating the comprehensive score, North District 1-Pedestal No. 1-Storage Location No. 1-1st Floor has the highest comprehensive score, and the recommended optimal storage location name is output. Finally, a certain bridge-1st unit-1st span-left span-No. 1 beam is recommended to be stored in North District 1-Pedestal No. 1-Storage Location No. 1-1st Floor.

[0121] Example 2: Take a bridge-1st joint-1st span-left span-2nd beam as an example. The beams are manufactured on the North 1 area-2 production line, so they also need to be stored in the North 1 area beam storage area. Prefabrication starts on October 8, 2024, and prefabrication is completed on October 12, 2024. The planned date for beam erection is November 30, 2024. The calculation probabilities of different storage locations are as follows:

[0122] 1) Assuming that the goods are stored in North Zone 1, Platform 1, Storage Location 1, Floor 2, the comprehensive score of Storage Location 1 is calculated as follows:

[0123] ① After searching the next layer of existing beams and slabs in the storage location: a certain bridge-the first joint-the first span-the left span-the beam No. 1 (the concrete pouring date is October 8, 2024, the shortest beam age is 7 days, and the planned beam erection date is November 30, 2024), the beam age of the next layer of existing beams and slabs = October 8, 2024-October 8, 2024 = 0 days < 7 days, which does not meet the standard. At this time, A1 = 0, B1 = S1 = 0.2;

[0124] ② The existing beams and slabs in the next layer of the storage location belong to the same erection working surface as the beams and slabs to be stored, that is, the erection working surface of the beams and slabs to be stored is the same as the erection working surface of the existing beams and slabs in the beam storage area of ​​the beams and slabs to be stored. At this time, A2=S4=1, B2=S3=0.1;

[0125] ③ The difference between the erection time of the next layer of stored beams and the beams to be stored in the storage location is X = November 30, 2024 - November 30, 2024 = 0 days, which means that the next layer of beams will be erected later than the previous layer of beams, and there will be no beam compression. At this time, A3 = S5 = 1, B3 = S6 = 0.3;

[0126] ④ The base sequence number is 1, that is, A4 = [1-(X1-1) / M] = [1-(1-1) / 4] = 1, B4 = S7 = 0.2;

[0127] ⑤ The storage position sequence number is 1. It is found that the beam slab closest to the beam slab to be stored during beam erection is a certain bridge-1st joint-1st span-left span-1st beam, which is located at storage position 1. That is, storage position T at this time is storage position 1, and the number of storage positions between storage position 1 to be stored and storage position T is X2=0, that is, A5=1-X2 / N=1-0 / 10=1, B5=S8=0.2;

[0128] Therefore: A1=(A1*B1+A2*B2+A3*B3+A4*B4+A5*B5)*[A1]*[A2]*100%=(0*0.2+1*0.1+1*0.3+1*0.2+1*0.2)*[0]*[1]*100%=0%. Since A1=0, it is directly rejected.

[0129] 2) Assuming that the goods are stored in North Zone 1, Platform 1, Storage Location 2, Floor 1, the comprehensive score of Storage Location 2 is calculated as follows:

[0130] ① After searching, there is no next layer in the storage space of this layer, that is, there is no beam stored in the next layer in the storage position, which means that the casting age of the existing beams and slabs in the next layer has reached the standard. At this time, A1=S9=1, B1=S1=0.2;

[0131] ② The existing beam-slab in the pedestal, namely, a certain bridge-the 1st unit-the 1st span-the left span-the 1st beam, belongs to the same erection working surface as the beam-slab to be stored, that is, the erection working surface of the beam-slab to be stored is the same as the erection working surface of the existing beam-slab in the beam storage area to be stored. At this time, A2=S4=1, B2=S3=0.1;

[0132] ③ There is no next layer of storage space on this layer, that is, there is no beam stored on the next layer in the storage space. It can be considered that the beams on the next layer are erected later than the beams on the previous layer, and there will be no beam compression. At this time, A3 = S 10 =1, B3=S6=0.3;

[0133] ④ The base sequence number is 1, that is, A4 = [1-(X1-1) / M] = [1-(1-1) / 4] = 1, B4 = S7 = 0.2;

[0134] ⑤ The storage position sequence number is 2. It is found that the beam slab closest to the beam slab to be stored during beam erection is a certain bridge-1st joint-1st span-left span-1st beam, which is located at storage position 1. That is, storage position T at this time is storage position 1, and the number of storage positions between storage position 2 and storage position T is X2=1, that is, A5=1-X2 / N=1-1 / 10=0.9, B5=S8=0.2;

[0135] Therefore: A2 = (A1*B1+A2*B2+A3*B3+A4*B4+A5*B5)*[A1]*[A2]*100%=(1*0.2+1*0.1+1*0.3+1*0.2+0.9*0.2)*[1]*[1]*100%=98%.

[0136] The same goes for other pedestals...

[0137] After calculating the comprehensive score, North District 1-Pedestal No. 1-Storage Location No. 2-1st Floor has the highest comprehensive score, and the recommended optimal storage location name is output. Finally, a certain bridge-1st joint-1st span-left span-No. 2 beam is recommended to be stored in North District 1-Pedestal No. 1-Storage Location No. 2-1st Floor.

[0138] The above two beams and slabs are used as examples. The other beams and slabs and different areas are the same.

[0139] Example 2

[0140] like Figure 4 The multi-layer beam intelligent storage recommendation method based on rule reasoning shown in the figure comprises the following steps:

[0141] Confirm the beam type, planned beam erection date, production line information and erection working surface information of the beam to be stored according to the ID information of the beam to be stored;

[0142] Confirm the storage area of ​​the beam slab to be stored according to the production line information of the beam slab to be stored;

[0143] Retrieve available pedestals in the area where the beams to be stored are to be stored according to the type of the beams to be stored, and retrieve the next layer of stored beam information in the storage location to be stored in the available pedestals;

[0144] When there are stored beams in the next layer of the storage location to be stored in the available pedestal, based on the planned beam erection date of the beam slab to be stored, the erection working surface information of the beam slab to be stored and the information of the next layer of stored beams in the storage location to be stored, the rule-based reasoning multi-layer beam storage intelligent storage recommendation algorithm is used to calculate the comprehensive score of each storage location to be stored in the available pedestal, and the optimal storage location for storing the beam slab to be stored is determined according to the comprehensive scoring results.

[0145] Example 3

[0146] A third aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method in Example 2 are implemented.

[0147] It should be understood that parts not elaborated in detail in this specification belong to the prior art.

[0148] The preferred embodiments of the present invention are described in detail above, but the present invention is not limited thereto. Within the technical concept of the present invention, the technical solution of the present invention can be subjected to a variety of simple modifications, including the combination of various technical features in any other suitable manner, and these simple modifications and combinations should also be regarded as the contents disclosed by the present invention and belong to the protection scope of the present invention.

Claims

1. A multi-layer intelligent storage recommendation system for beam storage based on rule reasoning, characterized in that: The system includes an information confirmation module, a beam storage area confirmation module, an available pedestal query module and a screening module; The information confirmation module is used to confirm the beam type, planned beam erection date, production line information and erection working surface information of the beam to be stored according to the ID information of the beam to be stored; The beam storage area confirmation module is used to confirm the beam storage area of ​​the beam slab to be stored according to the production line information of the beam slab to be stored; The available pedestal query module is used to retrieve available pedestals in the beam storage area of ​​the beam slab to be stored according to the beam slab type of the beam slab to be stored, and retrieve the next layer of stored beam information in the storage location to be stored in the available pedestal; The screening module is used to calculate the comprehensive score of each storage location to be stored in the available pedestal when there are stored beams in the next layer in the storage location to be stored in the available pedestal, based on the planned beam erection date of the beam slab to be stored, the erection working surface information of the beam slab to be stored and the next layer of stored beam information in the storage location to be stored, using a rule-based reasoning multi-layer beam storage intelligent storage recommendation algorithm, and determine the optimal storage location for storing the beam slab to be stored according to the comprehensive scoring result.

2. The multi-layer intelligent storage recommendation system for beam storage based on rule reasoning according to claim 1 is characterized in that: The information of the next layer of stored beams in the storage location to be stored includes the quantity information of the next layer of stored beams, the concrete pouring date of the next layer of stored beams and slabs, the planned beam erection date and the shortest age of stored beams.

3. The multi-layer intelligent storage recommendation system for beam storage based on rule reasoning according to claim 2 is characterized in that: A multi-layer intelligent storage recommendation algorithm for beam storage based on rule reasoning is used to calculate the comprehensive score of each storage location to be stored in the available pedestal. The specific steps of determining the optimal storage location for storing the beams and slabs to be stored according to the comprehensive score result include: using the influencing factor A1 and the influencing factor weight B1 based on the next layer of beam casting age verification rule, the influencing factor A2 and the influencing factor weight B2 based on the erection working surface verification rule, the influencing factor A3 and the influencing factor weight B3 based on the next layer of beam erection time difference rule, the influencing factor A4 and the influencing factor weight B4 based on the pedestal priority rule, and the influencing factor A5 and the influencing factor weight B5 based on the storage location priority rule, to calculate the comprehensive score of each storage location to be stored in the available pedestal, and take the one with the highest comprehensive score as the optimal storage location for storing the beams and slabs to be stored.

4. The multi-layer intelligent storage recommendation system for beam storage based on rule reasoning according to claim 3 is characterized in that: Using the rule-based reasoning multi-layer beam storage intelligent storage recommendation algorithm, the calculation formula for calculating the comprehensive score of each storage location to be stored in the available platform is as follows: <h2 style=";text-align:left;direction:ltr">A<h2 style=";text-align:left;direction:ltr"> i <h2 style=";text-align:left;direction:ltr"> (A1*B1+A2*B2+A3*B3+A4*B4+A5*B5)*[A1]*[A2]*100% In the formula, A i is the comprehensive score of the i-th storage location to be stored in the available platform, i = 1, 2, ... N, N is the total number of storage locations to be stored in the available platform; [A1] represents the upward rounding function of A1; [A2] represents the upward rounding function of A2.

5. The multi-layer intelligent storage recommendation system for beam storage based on rule reasoning according to claim 3 or 4 is characterized in that: The determination method of the influencing factor A1 and the influencing factor weight B1 based on the verification rule of the casting age of the next layer of beams includes: Calculate the existing beam age of the next layer of existing beams and slabs. The existing beam age of the next layer of existing beams and slabs = current date - concrete pouring date of the next layer of existing beams and slabs. When the existing beam age of the next layer of existing beams and slabs is less than the shortest existing beam age of the next layer of existing beams and slabs, A1 = 0, B1 = S1. When the existing beam age of the next layer of existing beams and slabs is greater than or equal to the shortest existing beam age of the next layer of existing beams and slabs, A1 = S2, B1 = S1. The determination method of the influencing factor A2 and the influencing factor weight B2 based on the setting working face verification rule includes: When the erection working surface of the beam-slab to be stored is different from the erection working surface of the existing beam-slab in the area where the beams need to be stored, A2=0, B2=S3; when the erection working surface of the beam-slab to be stored is the same as the erection working surface of the existing beam-slab in the area where the beams need to be stored, A2=S4, B2=S3.

6. The multi-layer beam storage intelligent storage recommendation system based on rule reasoning according to claim 3 or 4 is characterized in that: The determination method of the influence factor A3 and the influence factor weight B3 based on the time difference rule for erecting the next layer of beams includes: Calculate the difference X between the beam erection time of the next layer of existing beams and the beams to be stored, where X = the planned beam erection date of the next layer of existing beams - the planned beam erection date of the beams to be stored. When X≥0, A3=S5, B3=S6. When X<0, A3=1+1 / L*X, where L represents the longest beam age of the next layer of existing beams, and B3=S6.

7. The multi-layer intelligent storage recommendation system for beam storage based on rule reasoning according to claim 3 or 4 is characterized in that: The determination method of the impact factor A4 and the impact factor weight B4 based on the pedestal priority rule includes: Each pedestal in the beam storage area of ​​the beam slab to be stored is numbered in sequence, then A4 = [1-(X1-1) / M], where X1 represents the number of the available pedestal, M represents the total number of all pedestals in the beam storage area of ​​the beam slab to be stored, and B4 = S7; The determination method of the impact factor A5 and the impact factor weight B5 based on the storage location priority rule includes: Retrieve the storage position T where the beam slab closest to the beam slab to be stored is located during beam erection, and calculate the number of storage positions X2 between the storage position to be stored and storage position T, then A5=1-X2 / N. When the storage position to be stored and storage position T are located on different pedestals, X2=N, B5=S8.

8. The multi-layer intelligent storage recommendation system for beam storage based on rule reasoning according to claim 1 is characterized in that: The screening module is used to calculate the comprehensive score of each storage location to be stored in the available pedestal when there is no stored beam in the next layer of the storage location to be stored in the available pedestal, and determine the optimal storage location for storing the beam slab to be stored according to the comprehensive score result; The rule-based reasoning multi-layer intelligent storage recommendation algorithm for beam storage is used to calculate the comprehensive score of each storage location to be stored in the available pedestal. The specific steps of determining the optimal storage location for storing the beams and slabs to be stored according to the comprehensive score result include: using the influence factor A1 and the influence factor weight B1 based on the next layer of beam casting age verification rule, the influence factor A2 and the influence factor weight B2 based on the erection working surface verification rule, the influence factor A3 and the influence factor weight B3 based on the next layer of beam erection time difference rule, the influence factor A4 and the influence factor weight B4 based on the pedestal priority rule, and the influence factor A5 and the influence factor weight B5 based on the storage location priority rule, to calculate the comprehensive score of each storage location to be stored in the available pedestal, and take the one with the highest comprehensive score as the optimal storage location for storing the beams and slabs to be stored; Using the rule-based reasoning multi-layer beam storage intelligent storage recommendation algorithm, the calculation formula for calculating the comprehensive score of each storage location to be stored in the available platform is as follows: <h2 style=";text-align:left;direction:ltr">A<h2 style=";text-align:left;direction:ltr"> i <h2 style=";text-align:left;direction:ltr"> (A1*B1+A2*B2+A3*B3+A4*B4+A5*B5)*[A1]*[A2]*100% In the formula, A i is the comprehensive score of the i-th storage location to be stored in the available platform, i = 1, 2, ... N, N is the total number of storage locations to be stored in the available platform; [A1] represents the upward rounding function of A1; [A2] represents the upward rounding function of A2; A1 = S9, B1 = S1; A3 = S 10 , B3=S6; The determination method of the influencing factor A2 and the influencing factor weight B2 based on the setting working face verification rule includes: When there are stored beams in the area to be stored, when the erection working surface of the beam slab to be stored is different from the erection working surface of the existing beam slab in the area to be stored, A2=0, B2=S3; when the erection working surface of the beam slab to be stored is the same as the erection working surface of the existing beam slab in the area to be stored, A2=S4, B2=S3; When there is no beam stored in the area where beams need to be stored, A2=S 11 , B2=S3; The determination method of the impact factor A4 and the impact factor weight B4 based on the pedestal priority rule includes: Each pedestal in the beam storage area of ​​the beam slab to be stored is numbered in sequence, then A4 = [1-(X1-1) / M], where X1 represents the number of the available pedestal, M represents the total number of all pedestals in the beam storage area of ​​the beam slab to be stored, and B4 = S7; The determination method of the impact factor A5 and the impact factor weight B5 based on the storage location priority rule includes: Retrieve the storage position T where the beam slab closest to the beam slab to be stored is located during beam erection, and calculate the number of storage positions X2 between the storage position to be stored and storage position T, then A5=1-X2 / N. When the storage position to be stored and storage position T are located on different pedestals, X2=N, B5=S8.

9. A multi-layer beam intelligent storage recommendation method based on rule reasoning, characterized in that: The method comprises the following steps: Confirm the beam type, planned beam erection date, production line information and erection working surface information of the beam to be stored according to the ID information of the beam to be stored; Confirm the storage area of ​​the beam slab to be stored according to the production line information of the beam slab to be stored; Retrieve available pedestals in the area where the beams to be stored are to be stored according to the type of the beams to be stored, and retrieve the next layer of stored beam information in the storage location to be stored in the available pedestals; When there are stored beams in the next layer of the storage location to be stored in the available pedestal, based on the planned beam erection date of the beam slab to be stored, the erection working surface information of the beam slab to be stored and the information of the next layer of stored beams in the storage location to be stored, the rule-based reasoning multi-layer beam storage intelligent storage recommendation algorithm is used to calculate the comprehensive score of each storage location to be stored in the available pedestal, and the optimal storage location for storing the beam slab to be stored is determined according to the comprehensive scoring results.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to claim 9 are implemented.

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