Intelligent bidding and tendering processing method and device

Abstract

The invention relates to the technical field of information, and discloses an intelligent bidding and tendering processing method and device, and the method comprises the steps: determining at least one piece of bidding and tendering material information according to the determined target demand information; for each piece of bidding and tendering material information, determining at least one piece of first associated object information of the bidding and tendering material information; according to each piece of first associated object information, determining each piece of first permission information corresponding to the first associated object; determining a target associated object matched with the bidding and tendering material information in all the first associated objects according to all the first permission information; and according to the first association object information of all the target association objects, generating an information processing control parameter of each piece of bidding and tendering material information, so as to execute a matched information processing operation on each piece of bidding and tendering material information. Therefore, the bidding and tendering processing efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the field of information technology, and in particular, to an intelligent bidding and tendering processing method and device. Background Art

[0002] Bidding and tendering is a commonly used competitive procurement method in construction projects, which can improve the progress stability of construction projects.

[0003] In the actual bidding and tendering process, it is usually necessary to designate personnel and relevant department members to actually participate in each process of bidding and tendering offline through printed text, which is the carrier of bidding and tendering materials, to complete the bidding and tendering work. Such a bidding and tendering processing process not only has relatively low efficiency, but also increases the cost of construction projects, which is not conducive to the efficient operation of construction projects.

[0004] It can be seen that how to improve the efficiency of bidding and tendering processing is particularly important. Summary of the Invention

[0005] The present invention provides an intelligent bidding and tendering processing method and device, which can improve the efficiency of bidding and tendering processing.

[0006] To solve the above technical problems, a first aspect of the present invention discloses an intelligent bidding and tendering processing method, and the method includes:

[0007] Determine at least one bidding and tendering material information according to the determined target requirement information;

[0008] For each of the bidding and tendering material information, determine at least one first associated object information of the bidding and tendering material information; according to each of the first associated object information, determine the first permission information of each corresponding first associated object; according to all the first permission information, determine a target associated object that matches the bidding and tendering material information among all the first associated objects;

[0009] Generate an information processing control parameter for each of the bidding and tendering material information according to the first associated object information of all the target associated objects, so as to perform a matching information processing operation on each of the bidding and tendering material information.

[0010] As an optional implementation manner, in the first aspect of the present invention, the determining, according to all the first permission information, a target associated object that matches the bidding and tendering material information among all the first associated objects includes:

[0011] Determine the attribute information of the bidding and tendering material information, where the attribute information is used to represent at least one of the effective period, use, information scale, and confidentiality level of the bidding and tendering material information;

[0012] Determine the priority value of the tendering and bidding material information according to the attribute information, where the priority value is used to represent the importance degree of the tendering and bidding material information;

[0013] For each of the first associated objects, determine whether the first permission information of the first associated object matches the priority value. When it is determined that the first permission information of the first associated object matches the priority value, determine that the first associated object is the target associated object that matches the tendering and bidding material information.

[0014] As an optional implementation manner, in the first aspect of the present invention, for each of the first associated objects, the determining whether the first permission information of the first associated object matches the priority value includes:

[0015] Determine at least one association relationship between the first associated object and the tendering and bidding material information according to the first associated object information of the first associated object;

[0016] Calculate an association relationship value between the first associated object and the tendering and bidding material information according to the first permission information of the first associated object and all the association relationships of the first associated object. The first permission information of different first associated objects is different, and different first permission information has different contribution degrees to the calculation of the association relationship value. The association relationship value is used to represent the connection degree between the first associated object and the tendering and bidding material information;

[0017] Determine whether the association relationship value matches the priority value. When it is determined that the association relationship value matches the priority value, determine that the first permission information of the first associated object matches the priority value.

[0018] As an optional implementation manner, in the first aspect of the present invention, the target associated object includes a demand object and an attribution object. The demand object corresponds to the target demand information. The attribution object is used to represent an object with the temporary storage condition of the tendering and bidding material information. The attribution object includes an owning object and a relay object. The owning object is used to represent an object with the ownership of the tendering and bidding material information. The relay object is different from the owning object. Before generating information processing control parameters for each tendering and bidding material information according to the first associated object information of all the target associated objects to perform information processing operations that match each tendering and bidding material information, the method further includes:

[0019] For each of the target associated objects, based on the first associated object information of the target associated object, determine the multi-dimensional credit information of the target associated object, where the multi-dimensional credit information includes at least two of qualification information, credit information, asset information, scale information, and second associated object information;

[0020] Based on the multi-dimensional credit information, calculate the credibility value of the target associated object, where the credibility value is used to represent the credit degree of the target associated object;

[0021] Determine whether the credibility value is greater than or equal to a preset credibility threshold. When it is determined that the credibility value is less than the preset credibility threshold, generate a warning feedback information based on the first associated object information and the credibility value of the target associated object, where the warning feedback information is associated with the tendering and bidding material information corresponding to the target associated object;

[0022] When it is determined that all the credibility values are greater than or equal to the preset credibility threshold, trigger the execution of generating information processing control parameters for each of the tendering and bidding material information based on the first associated object information of all the target associated objects, so as to perform matching information processing operations on each of the tendering and bidding material information.

[0023] As an optional implementation manner, in the first aspect of the present invention, the generating information processing control parameters for each of the tendering and bidding material information based on the first associated object information of all the target associated objects, so as to perform matching information processing operations on each of the tendering and bidding material information, includes:

[0024] For each of the tendering and bidding material information, based on the first associated object information of all the target associated objects of the tendering and bidding material information, determine the information collection link of the tendering and bidding material information;

[0025] For each of the target associated objects in the information collection link, based on the first permission information and the first associated object information of the target associated object, determine the second permission information of the target associated object for the tendering and bidding material information;

[0026] Based on all the second permission information and the information collection link, determine the information processing rules of the tendering and bidding material information;

[0027] Based on all the information processing rules, generate information processing control parameters for each of the tendering and bidding material information, so as to perform matching information processing operations on each of the tendering and bidding material information.

[0028] As an alternative implementation, in the first aspect of the present invention, the information processing rules include at least one information processing item, and the information processing items correspond to different information processing moments of the information collection link. According to all the information processing rules, information processing control parameters for each of the bidding material information are generated to perform matching information processing operations on each of the bidding material information, including:

[0029] For each information processing item of each of the information processing rules, it is determined whether there is a target information processing item in other information processing rules that matches this information processing item. When it is determined that there is the target information processing item in other information processing rules, then this information processing item and the target information processing item are determined as combined information processing items, and the combined information processing items are used to perform the same information processing operation simultaneously;

[0030] According to all the information processing rules and all the combined information processing items, information processing control parameters for each of the bidding material information are generated to perform matching information processing operations on each of the bidding material information.

[0031] As an alternative implementation, in the first aspect of the present invention, the method further includes:

[0032] According to the target demand information, the expected style processing effect information corresponding to all the bidding material information is determined;

[0033] The actual style processing effect information of all the bidding material information after performing the information processing operation is obtained;

[0034] It is determined whether the actual style processing effect information matches the expected style processing effect information. When it is determined that the actual style processing effect information does not match the expected style processing effect information, then at least one target item is determined, and the target item is the information item where the actual style processing effect information does not match the expected style processing effect information;

[0035] According to all the target items and the first association object information of all the target association objects, at least one inducing factor is analyzed, and the inducing factor is used to represent the factor that causes the actual style processing effect information not to match the expected style processing effect information;

[0036] According to all the inducing factors, target feedback information is generated. The target feedback information is associated with all the bidding material information, and the target feedback information is used to feedback all the inducing factors to the demand object corresponding to the target demand information.

[0037] The second aspect of the present invention discloses an intelligent bidding and tendering processing device, which includes:

[0038] A determination module, configured to determine at least one bidding and tendering material information according to the determined target requirement information;

[0039] The determination module is further configured to, for each of the bidding and tendering material information, determine at least one first associated object information of the bidding and tendering material information;

[0040] The determination module is further configured to determine the first permission information of each corresponding first associated object according to each of the first associated object information;

[0041] The determination module is further configured to determine a target associated object that matches the bidding and tendering material information among all the first associated objects according to all the first permission information;

[0042] A generation module, configured to generate an information processing control parameter for each of the bidding and tendering material information according to the first associated object information of all the target associated objects, so as to perform a matching information processing operation on each of the bidding and tendering material information.

[0043] As an optional implementation manner, in the second aspect of the present invention, the specific manner in which the determination module determines a target associated object that matches the bidding and tendering material information among all the first associated objects according to all the first permission information includes:

[0044] Determine the attribute information of the bidding and tendering material information, where the attribute information is used to represent at least one of the effective period, usage, information scale, and confidentiality level of the bidding and tendering material information;

[0045] Determine the priority value of the bidding and tendering material information according to the attribute information, where the priority value is used to represent the importance degree of the bidding and tendering material information;

[0046] For each of the first associated objects, determine whether the first permission information of the first associated object matches the priority value. When it is determined that the first permission information of the first associated object matches the priority value, determine that the first associated object is the target associated object that matches the bidding and tendering material information.

[0047] As an optional implementation manner, in the second aspect of the present invention, the specific manner in which the determination module determines whether the first permission information of each of the first associated objects matches the priority value includes:

[0048] Determine at least one association relationship between the first associated object and the bidding material information according to the first associated object information of the first associated object;

[0049] Calculate an association relationship value between the first associated object and the bidding material information according to the first permission information of the first associated object and all the association relationships of the first associated object. The first permission information of different first associated objects is different, and different first permission information has different contribution degrees to the calculation of the association relationship value. The association relationship value is used to represent the degree of connection between the first associated object and the bidding material information;

[0050] Judge whether the association relationship value matches the priority value. When it is judged that the association relationship value matches the priority value, it is determined that the first permission information of the first associated object matches the priority value.

[0051] As an optional implementation manner, in the second aspect of the present invention, the target associated object includes a demand object and an attribution object. The demand object corresponds to the target demand information. The attribution object is used to represent an object that meets the temporary storage condition of the bidding material information. The attribution object includes an ownership object and a relay object. The ownership object is used to represent an object that has the ownership of the bidding material information. The relay object is different from the ownership object. And, the determination module is further configured to, before the generation module generates information processing control parameters for each bidding material information according to the first associated object information of all the target associated objects to perform matching information processing operations on each bidding material information, for each target associated object, determine multi-dimensional credit information of the target associated object according to the first associated object information of the target associated object. The multi-dimensional credit information includes at least two of qualification information, credit information, asset information, scale information, and second associated object information;

[0052] And, the device further includes:

[0053] A calculation module, configured to calculate a credibility value of the target associated object according to the multi-dimensional credit information. The credibility value is used to represent the credit degree of the target associated object;

[0054] A first judgment module, configured to judge whether the credibility value is greater than or equal to a preset credibility threshold;

[0055] The generating module is further configured to, when the first determination module determines that the credibility value is less than the preset credibility threshold, generate a warning feedback message according to the first associated object information of the target associated object and the credibility value, where the warning feedback message is associated with the bidding material information corresponding to the target associated object;

[0056] When the first determination module determines that all the credibility values are greater than or equal to the preset credibility threshold, the generating module is triggered to execute the information processing control parameter for generating each piece of bidding material information according to the first associated object information of all the target associated objects, so as to perform a matching information processing operation on each piece of bidding material information.

[0057] As an alternative implementation manner, in the second aspect of the present invention, the specific manner in which the generating module generates an information processing control parameter for each piece of bidding material information according to the first associated object information of all the target associated objects, so as to perform a matching information processing operation on each piece of bidding material information includes:

[0058] For each piece of bidding material information, determine the information collection link of the bidding material information according to the first associated object information of all the target associated objects of the bidding material information;

[0059] For each target associated object in the information collection link, determine the second permission information of the target associated object for the bidding material information according to the first permission information of the target associated object and the first associated object information of the target associated object;

[0060] Determine the information processing rule of the bidding material information according to all the second permission information and the information collection link;

[0061] Generate an information processing control parameter for each piece of bidding material information according to all the information processing rules, so as to perform a matching information processing operation on each piece of bidding material information.

[0062] As an alternative implementation manner, in the second aspect of the present invention, the information processing rule includes at least one information processing item, and the information processing item corresponds to different information processing moments of the information collection link. The specific manner in which the generating module generates an information processing control parameter for each piece of bidding material information according to all the information processing rules, so as to perform a matching information processing operation on each piece of bidding material information includes:

[0063] For each information processing item of each of the information processing rules, determine whether there is a target information processing item in the other information processing rules that matches the information processing item. When it is determined that there is the target information processing item in the other information processing rules, then determine the information processing item and the target information processing item as a combined information processing item, and the combined information processing item is used to perform the same information processing operation simultaneously;

[0064] Generate information processing control parameters for each of the bidding material information according to all the information processing rules and all the combined information processing items, so as to perform a matching information processing operation on each of the bidding material information.

[0065] As an optional implementation manner, in the second aspect of the present invention, the determining module is further configured to determine expected style processing effect information corresponding to all the bidding material information according to the target demand information;

[0066] And, the device further includes:

[0067] An obtaining module, configured to obtain actual style processing effect information of all the bidding material information after performing the information processing operation;

[0068] A second judging module, configured to judge whether the actual style processing effect information matches the expected style processing effect information;

[0069] The determining module is further configured to, when the second judging module judges that the actual style processing effect information does not match the expected style processing effect information, determine at least one target item, and the target item is an information item for which the actual style processing effect information does not match the expected style processing effect information;

[0070] An analyzing module, configured to analyze at least one inducing factor according to all the target items and the first associated object information of all the target associated objects, and the inducing factor is used to represent a factor that causes the actual style processing effect information not to match the expected style processing effect information;

[0071] The generating module is further configured to generate target feedback information according to all the inducing factors, and the target feedback information is associated with all the bidding material information, and the target feedback information is used to feedback all the inducing factors to a demand object corresponding to the target demand information.

[0072] The third aspect of the present invention discloses another intelligent bidding processing device, and the device includes:

[0073] A memory storing executable program code;

[0074] A processor coupled to the memory;

[0075] The processor calls the executable program code stored in the memory and executes the intelligent bidding processing method disclosed in the first aspect of the present invention.

[0076] The fourth aspect of the present invention discloses a computer storage medium. The computer storage medium stores computer instructions, which are used to execute the intelligent bidding processing method disclosed in the first aspect of the present invention when called.

[0077] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0078] In the embodiments of the present invention, at least one bidding material information is determined according to the determined target requirement information; for each bidding material information, at least one first associated object information of the bidding material information is determined; according to each first associated object information, the first permission information of each corresponding first associated object is determined; according to all the first permission information, a target associated object matching the bidding material information is determined among all the first associated objects; according to the first associated object information of all the target associated objects, an information processing control parameter for each bidding material information is generated to perform a matching information processing operation on each bidding material information. It can be seen that implementing the present invention can determine at least one bidding material information according to the determined target requirement information. For each bidding material information, by determining at least one first associated object information of the bidding material information, determining the first permission information of each corresponding first associated object, and according to all the first permission information, determining a target associated object matching the bidding material information among all the first associated objects, thereby improving the screening accuracy and comprehensiveness of the bidding associated objects. According to the first associated object information of all the target associated objects, an information processing control parameter for each bidding material information is generated to perform a matching information processing operation on each bidding material information, which can improve the docking real-time, accuracy and security of the bidding material information while improving the bidding processing efficiency, and is conducive to realizing the accurate docking of the bidding material information, thereby further improving the promotion efficiency and promotion stability of the construction project. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0080] Figure 1It is a schematic flowchart of an intelligent bidding processing method disclosed in an embodiment of the present invention;

[0081] Figure 2 It is a schematic flowchart of another intelligent bidding processing method disclosed in an embodiment of the present invention;

[0082] Figure 3 It is a schematic structural diagram of an intelligent bidding processing device disclosed in an embodiment of the present invention;

[0083] Figure 4 It is a schematic structural diagram of another intelligent bidding processing device disclosed in an embodiment of the present invention;

[0084] Figure 5 It is a schematic structural diagram of yet another intelligent bidding processing device disclosed in an embodiment of the present invention. Detailed implementation manners

[0085] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a 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 those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0086] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product or terminal that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or terminals.

[0087] Referring to "embodiment" herein means that a specific feature, structure or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0088] The present invention discloses an intelligent bidding processing method and device, which can determine at least one bidding material information according to the determined target requirement information. For each bidding material information, by determining at least one first associated object information of the bidding material information, determine the first permission information of each corresponding first associated object. According to all the first permission information, among all the first associated objects, determine the target associated object that matches the bidding material information, so as to improve the accuracy and comprehensiveness of the screening of bidding associated objects. According to the first associated object information of all the target associated objects, generate the information processing control parameters of each bidding material information, so as to perform the matching information processing operation on each bidding material information, which can improve the docking real-time, accuracy and security of the bidding material information while improving the bidding processing efficiency, and is conducive to realizing the accurate docking of the bidding material information, thereby further improving the promotion efficiency and promotion stability of the construction project. The following will be described in detail respectively.

[0089] Embodiment 1

[0090] Please refer to Figure 1 , Figure 1 which is a schematic flow chart of an intelligent bidding processing method disclosed in an embodiment of the present invention. Among them, Figure 1 the described intelligent bidding processing method can be applied to construction engineering equipment, and can also be applied to intelligent equipment related to construction engineering equipment. The intelligent equipment includes, but is not limited to, one or more of cloud equipment, edge computing equipment, relay equipment, base station equipment, urban management equipment, and intelligent networked equipment. The embodiments of the present invention do not make specific limitations. As Figure 1 shown, the intelligent bidding processing method may include the following operations:

[0091] 101. Determine at least one bidding material information according to the determined target requirement information;

[0092] In the embodiment of the present invention, the above-mentioned target requirement information corresponds to bidding requirement information and / or tendering requirement information, which is specifically related to the actual application scenario, and the embodiments of the present invention do not make specific limitations on this.

[0093] In the embodiment of the present invention, optionally, the above-mentioned bidding material information includes, but is not limited to, bidding materials such as bank receipts, social security certificates, cases, qualification certificates, invoices, contracts, etc.

[0094] 102. For each bidding material information, determine at least one first associated object information of the bidding material information;

[0095] 103. Determine the first permission information of each corresponding first associated object according to each first associated object information;

[0096] In an embodiment of the present invention, optionally, the above-mentioned first permission information is used to represent all the permission situations enjoyed by the first associated object.

[0097] In an embodiment of the present invention, optionally, the above-mentioned first associated object includes, but is not limited to, units such as the human resources department, the finance department, the bidding department, subcontracting, the engineering department, banks, etc., and may also include specific individuals. The embodiments of the present invention do not make specific limitations on this.

[0098] 104. According to all the first permission information, determine a target associated object that matches the bidding material information among all the first associated objects;

[0099] In an embodiment of the present invention, as an optional implementation manner, the above-mentioned determining a target associated object that matches the bidding material information among all the first associated objects according to all the first permission information includes:

[0100] Determine the attribute information of the bidding material information, where the attribute information is used to represent at least one of the effective period, use, information scale, and confidentiality level of the bidding material information;

[0101] According to the attribute information, determine the priority value of the bidding material information, where the priority value is used to represent the importance degree of the bidding material information;

[0102] For each first associated object, determine whether the first permission information of the first associated object matches the priority value. When it is determined that the first permission information of the first associated object matches the priority value, then determine that the first associated object is the target associated object that matches the bidding material information.

[0103] In an embodiment of the present invention, optionally, different levels of first permission information may correspond to different priority values. Further optionally, the above corresponding process may be a process of quantifying the permissions of the first permission information, which specifically corresponds to the above process of determining the priority value of the bidding material information according to the attribute information;

[0104] Further optionally, the above-mentioned attribute information is used to represent at least one of the effective period, use, information scale, and confidentiality level of the bidding material information. For example, the weight values corresponding to different effective periods, different uses, different information scales, and different confidentiality levels are different. Through a pre-designed calculation method, the priority value of the bidding material information can be obtained.

[0105] It can be seen that after determining the first permission information of each first associated object by implementing this optional embodiment, by determining the attribute information of each tendering and bidding material information for representing at least one of the effective period, usage, information scale, and confidentiality level of the tendering and bidding material information, the priority value for representing the importance level of each tendering and bidding material information is determined. When it is determined that the first permission information of the first associated object matches the priority value, the first associated object is determined as the target associated object matching the tendering and bidding material information, which can further improve the determination accuracy of the target associated object, is beneficial to improving the processing accuracy of tendering and bidding material information, and improving the tendering and bidding processing efficiency.

[0106] In this optional embodiment, as an optional implementation manner, for each first associated object, determining whether the first permission information of the first associated object matches the priority value includes:

[0107] According to the first associated object information of the first associated object, determining at least one association relationship between the first associated object and the tendering and bidding material information;

[0108] According to the first permission information of the first associated object and all the association relationships of the first associated object, calculating the association relationship value between the first associated object and the tendering and bidding material information. Different first associated objects have different first permission information, and different first permission information has different contribution degrees to the calculation of the association relationship value. The association relationship value is used to represent the connection degree between the first associated object and the tendering and bidding material information;

[0109] Determining whether the association relationship value matches the priority value. When it is determined that the association relationship value matches the priority value, it is determined that the first permission information of the first associated object matches the priority value.

[0110] In this optional embodiment, optionally, there may be a preset relationship weight for the above-mentioned association relationship, and different additional weights may be assigned to different first permission information.

[0111] It can be seen that implementing this optional embodiment can further determine at least one association relationship between the first associated object and the bidding material information according to the first associated object information of the first associated object during the process of determining whether the first permission information of the first associated object matches the priority value. According to the first permission information of the first associated object and all the association relationships of the first associated object, calculate the association relationship value between the first associated object and the bidding material information. When it is determined that the association relationship value matches the priority value, it is determined that the first permission information of the first associated object matches the priority value, which can further improve the determination accuracy, scientificity, and feasibility of the target associated object, facilitate further improving the processing accuracy of the bidding material information, and improve the bidding processing efficiency.

[0112] 105. Generate an information processing control parameter for each bidding material information according to the first associated object information of all target associated objects, so as to perform a matching information processing operation on each bidding material information.

[0113] In an embodiment of the present invention, optionally, the above information processing operations may include, but are not limited to, one or more operations such as collection, format conversion, encryption, decryption, rendering, style adjustment, data compression, forwarding of material information, etc.

[0114] It can be seen that implementing the embodiments of the present invention can determine at least one bidding material information according to the determined target requirement information. For each bidding material information, by determining at least one first associated object information of the bidding material information, determine the first permission information of each corresponding first associated object. According to all the first permission information, determine the target associated object that matches the bidding material information among all the first associated objects, thereby improving the screening accuracy and comprehensiveness of the bidding associated objects. Generate an information processing control parameter for each bidding material information according to the first associated object information of all target associated objects, so as to perform a matching information processing operation on each bidding material information, which can improve the real-time, accuracy, and security of the docking of the bidding material information while improving the bidding processing efficiency, facilitating the precise docking of the bidding material information, and further improving the promotion efficiency and promotion stability of the construction project.

[0115] In an embodiment of the present invention, as another optional implementation manner, the above target associated object includes a demand object and an attribution object. The demand object corresponds to the target requirement information, and the attribution object is used to represent an object with the condition for temporarily storing the bidding material information. The attribution object includes an owning object and a relay object. The owning object is used to represent an object with the ownership of the bidding material information, and the relay object is different from the owning object;

[0116] Moreover, before generating information processing control parameters for each tendering and bidding material information based on the first associated object information of all target associated objects to perform information processing operations that match each tendering and bidding material information, the method further includes:

[0117] For each target associated object, determine the multi-dimensional credit information of the target associated object according to the first associated object information of the target associated object, where the multi-dimensional credit information includes at least two of qualification information, credit information, asset information, scale information, and second associated object information;

[0118] Calculate a credibility value of the target associated object according to the multi-dimensional credit information, where the credibility value is used to represent the credit level of the target associated object;

[0119] Determine whether the credibility value is greater than or equal to a preset credibility threshold. When it is determined that the credibility value is less than the preset credibility threshold, generate warning feedback information according to the first associated object information and the credibility value of the target associated object, and the warning feedback information is associated with the tendering and bidding material information corresponding to the target associated object;

[0120] When it is determined that all credibility values are greater than or equal to the preset credibility threshold, trigger the execution of generating information processing control parameters for each tendering and bidding material information based on the first associated object information of all target associated objects to perform information processing operations that match each tendering and bidding material information.

[0121] It can be seen that implementing this optional embodiment can, after screening all target associated objects, perform multi-dimensional credit analysis on the target associated objects, calculate a credibility value used to represent the credit level of the target associated object, and when it is determined that the credibility value is less than the preset credibility threshold, generate warning feedback information associated with the tendering and bidding material information corresponding to the target associated object according to the first associated object information and the credibility value of the target associated object, so that the corresponding tendering and bidding material information is accompanied by the above warning feedback information, thereby improving the accuracy and timeliness of the safety warning in tendering and bidding processing, being conducive to improving the accuracy of tendering and bidding risk control, and improving the stable progress of construction projects.

[0122] Embodiment 2

[0123] Please refer to Figure 2 , Figure 2 which is a schematic flowchart of another intelligent tendering and bidding processing method disclosed in the embodiments of the present invention. Among them, Figure 2The described intelligent bidding processing method can be applied to construction engineering equipment and also to intelligent devices related to construction engineering equipment. Such intelligent devices include, but are not limited to, one or more of cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent connected devices. The embodiments of the present invention do not make any limitations. As Figure 2 shown, the intelligent bidding processing method may include the following operations:

[0124] 201. Determine at least one bidding material information according to the determined target requirement information;

[0125] 202. For each bidding material information, determine at least one first associated object information of the bidding material information;

[0126] 203. Determine the first permission information of each corresponding first associated object according to each first associated object information;

[0127] 204. According to all the first permission information, determine the target associated object that matches the bidding material information among all the first associated objects;

[0128] In the embodiments of the present invention, for other supplementary descriptions of steps 201 - 204, please refer to the supplementary descriptions of steps 101 - 104 in Embodiment 1. The embodiments of the present invention will not elaborate on this again.

[0129] 205. For each bidding material information, determine the information collection link of the bidding material information according to the first associated object information of all the target associated objects of the bidding material information;

[0130] 206. For each target associated object in the information collection link, determine the second permission information of the target associated object for the bidding material information according to the first permission information of the target associated object and the first associated object information of the target associated object;

[0131] 207. Determine the information processing rule of the bidding material information according to all the second permission information and the information collection link;

[0132] 208. Generate the information processing control parameters for each bidding material information according to all the information processing rules, so as to perform the matching information processing operations on each bidding material information.

[0133] It can be seen that after determining the target associated object that matches the bidding and tendering material information, for each piece of bidding and tendering material information, according to the first associated object information of all the target associated objects of this piece of bidding and tendering material information, the information collection link of this piece of bidding and tendering material information is determined, and then each information collection link is further analyzed. Specifically, for each target associated object in the information collection link, according to the first permission information of this target associated object and the first associated object information of this target associated object, the second permission information of this target associated object for this piece of bidding and tendering material information is determined. According to all the second permission information in the information collection link and this information collection link, the information processing rule of this piece of bidding and tendering material information is determined, and then according to all the information processing rules, the information processing control parameter of each piece of bidding and tendering material information is generated to perform a matching information processing operation on each piece of bidding and tendering material information, which can further improve the information security and privacy protection of the bidding and tendering material information in the process of the information collection link, is beneficial to improving the accuracy and comprehensiveness of the bidding and tendering process, and improving the promotion stability and security of the construction project.

[0134] In an embodiment of the present invention, as an optional implementation manner, the above information processing rule includes at least one information processing item, and the information processing item corresponds to different information processing moments of the information collection link. The above generating the information processing control parameter of each piece of bidding and tendering material information according to all the information processing rules to perform a matching information processing operation on each piece of bidding and tendering material information includes:

[0135] For each information processing item of each information processing rule, determine whether there is a target information processing item in other information processing rules that matches this information processing item. When it is determined that there is a target information processing item in other information processing rules, then this information processing item and the target information processing item are determined as a combined information processing item, and the combined information processing item is used to perform the same information processing operation simultaneously;

[0136] Generate the information processing control parameter of each piece of bidding and tendering material information according to all the information processing rules and all the combined information processing items to perform a matching information processing operation on each piece of bidding and tendering material information.

[0137] In this optional embodiment, optionally, for the combined information processing items such as contracts, process documents, etc. that require the same stamping and signature processes, the same information processing operation can be synchronously performed, which can further improve the intelligent level and humanized level of the automated information processing operation and make technology truly meet the actual project requirements.

[0138] It can be seen that implementing this optional embodiment can further analyze the information processing matters in the information processing rules after generating the information processing rules for each tendering and bidding material information. Specifically, by determining whether there are target information processing matters in other information processing rules that match the information processing matter, the information processing matter and the target information processing matter are determined as combined information processing matters, so as to perform the same information processing operations on the combined information processing matters simultaneously, which can further improve the efficiency of tendering and bidding processing and the recommendation efficiency of construction projects while ensuring the accuracy of tendering and bidding processing.

[0139] In an embodiment of the present invention, as another optional implementation manner, the method further includes:

[0140] Determine the expected style processing effect information corresponding to all tendering and bidding material information according to the target demand information;

[0141] Obtain the actual style processing effect information of all tendering and bidding material information after performing the information processing operation;

[0142] Judge whether the actual style processing effect information matches the expected style processing effect information. When it is judged that the actual style processing effect information does not match the expected style processing effect information, determine at least one target item, where the target item is the information item for which the actual style processing effect information does not match the expected style processing effect information;

[0143] Analyze at least one inducing factor according to all target items and the first associated object information of all target associated objects, where the inducing factor is used to represent the factor that causes the actual style processing effect information not to match the expected style processing effect information;

[0144] Generate target feedback information according to all inducing factors. The target feedback information is associated with all tendering and bidding material information, and the target feedback information is used to feedback all inducing factors to the demand object corresponding to the target demand information.

[0145] It can be seen that implementing this optional embodiment can also, after performing information processing operations that match each tendering and bidding material information based on the information processing control parameters generated for each tendering and bidding material information, compare the expected style processing effect information of all tendering and bidding material information corresponding to the analyzed target demand information with the actual style processing effect information of all obtained tendering and bidding material information after performing the information processing operations. When it is determined that the actual style processing effect information does not match the expected style processing effect information, at least one mismatched target item is determined, and in combination with the first associated object information of all target associated objects, induction factors representing at least one factor that causes the actual style processing effect information to not match the expected style processing effect information are analyzed. According to all induction factors, a target feedback information is generated for feedbacking all induction factors to the demand object corresponding to the target demand information and associated with all tendering and bidding material information, so that the tendering and bidding material information is accompanied by the corresponding target feedback information, further improving the stability and error correction ability of the tendering and bidding process, enhancing the reverse traceability ability during the tendering and bidding process, facilitating the stable progress of construction engineering projects, and improving the progress efficiency and progress safety of construction engineering projects.

[0146] Embodiment III

[0147] Please refer to Figure 3 , Figure 3 which is a schematic structural diagram of an intelligent tendering and bidding processing device disclosed in an embodiment of the present invention. Among them, this intelligent tendering and bidding processing device can be applied to construction engineering equipment and can also be applied to intelligent devices related to construction engineering equipment. The intelligent devices include, but are not limited to, one or more of cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent networked devices, which are not limited in the embodiments of the present invention. As Figure 3 shown, this intelligent tendering and bidding processing device may include:

[0148] A determination module 301, configured to determine at least one tendering and bidding material information according to the determined target demand information;

[0149] The determination module 301 is further configured to, for each tendering and bidding material information, determine at least one first associated object information of the tendering and bidding material information;

[0150] The determination module 301 is further configured to determine the first permission information of each corresponding first associated object according to each first associated object information;

[0151] The determination module 301 is further configured to determine a target associated object that matches the tendering and bidding material information among all first associated objects according to all first permission information;

[0152] A generation module 302, configured to generate an information processing control parameter for each tendering and bidding material information according to the first associated object information of all target associated objects, so as to perform a matching information processing operation on each tendering and bidding material information.

[0153] It can be seen that implementing the embodiments of the present invention can determine at least one tendering and bidding material information according to the determined target requirement information. For each tendering and bidding material information, by determining at least one first associated object information of the tendering and bidding material information, determining the first permission information of each corresponding first associated object, and according to all the first permission information, determining the target associated object that matches the tendering and bidding material information among all the first associated objects, thereby improving the screening accuracy and comprehensiveness of tendering and bidding associated objects. According to the first associated object information of all target associated objects, generating an information processing control parameter for each tendering and bidding material information, so as to perform a matching information processing operation on each tendering and bidding material information, can improve the real-time performance, accuracy and security of the docking of tendering and bidding material information while improving the tendering and bidding processing efficiency, which is beneficial to realizing the accurate docking of tendering and bidding material information, and further improving the promotion efficiency and promotion stability of construction projects.

[0154] In the embodiments of the present invention, as an optional implementation manner, the specific manner for the above-mentioned determination module 301 to determine the target associated object that matches the tendering and bidding material information among all the first associated objects according to all the first permission information includes:

[0155] Determine the attribute information of the tendering and bidding material information, where the attribute information is used to represent at least one of the effective period, usage, information scale, and confidentiality level of the tendering and bidding material information;

[0156] According to the attribute information, determine the priority value of the tendering and bidding material information, where the priority value is used to represent the importance degree of the tendering and bidding material information;

[0157] For each first associated object, determine whether the first permission information of the first associated object matches the priority value. When it is determined that the first permission information of the first associated object matches the priority value, determine that the first associated object is the target associated object that matches the tendering and bidding material information.

[0158] It can be seen that after determining the first permission information of each first associated object by implementing this optional embodiment, by determining the attribute information of each tendering and bidding material information for representing at least one of the effective period, use, information scale, and confidentiality level of the tendering and bidding material information, the priority value for representing the importance degree of each tendering and bidding material information is determined. When it is determined that the first permission information of the first associated object matches the priority value, the first associated object is determined as the target associated object that matches the tendering and bidding material information, which can further improve the determination accuracy of the target associated object, is beneficial to improving the processing accuracy of tendering and bidding material information, and improves the tendering and bidding processing efficiency.

[0159] In this optional embodiment, as an optional implementation manner, the specific method for the determination module 301 to determine whether the first permission information of each first associated object matches the priority value includes:

[0160] According to the first associated object information of the first associated object, determine at least one association relationship between the first associated object and the tendering and bidding material information;

[0161] According to the first permission information of the first associated object and all the association relationships of the first associated object, calculate the association relationship value between the first associated object and the tendering and bidding material information. The first permission information of different first associated objects is different, and the contribution degrees of different first permission information to the calculation of the association relationship value are different. The association relationship value is used to represent the connection degree between the first associated object and the tendering and bidding material information;

[0162] Judge whether the association relationship value matches the priority value. When it is determined that the association relationship value matches the priority value, it is determined that the first permission information of the first associated object matches the priority value.

[0163] It can be seen that by implementing this optional embodiment, during the process of determining whether the first permission information of the first associated object matches the priority value, at least one association relationship between the first associated object and the tendering and bidding material information can be further determined according to the first associated object information of the first associated object, the association relationship value between the first associated object and the tendering and bidding material information can be calculated according to the first permission information of the first associated object and all the association relationships of the first associated object, and when it is determined that the association relationship value matches the priority value, it is determined that the first permission information of the first associated object matches the priority value, which can further improve the determination accuracy, scientificity, and feasibility of the target associated object, is beneficial to further improving the processing accuracy of tendering and bidding material information, and improves the tendering and bidding processing efficiency.

[0164] In an embodiment of the present invention, as another alternative embodiment, the above-mentioned target associated object includes a demand object and an attribution object. The demand object corresponds to target demand information, and the attribution object is used to represent an object that meets the temporary storage condition of tendering and bidding material information. The attribution object includes an owned object and a relay object. The owned object is used to represent an object that has the ownership of tendering and bidding material information, and the relay object is different from the owned object;

[0165] Optionally, the above-mentioned determination module 301 is further configured to, before the generation module 302 generates information processing control parameters for each tendering and bidding material information according to the first associated object information of all target associated objects to perform information processing operations that match each tendering and bidding material information, for each target associated object, determine the multi-dimensional credit information of the target associated object according to the first associated object information of the target associated object. The multi-dimensional credit information includes at least two of qualification information, credit information, asset information, scale information, and second associated object information;

[0166] Optionally, as Figure 4 shown, the device further includes:

[0167] A calculation module 303, configured to calculate a credibility value of the target associated object according to the multi-dimensional credit information. The credibility value is used to represent the credit degree of the target associated object;

[0168] A first judgment module 304, configured to judge whether the credibility value is greater than or equal to a preset credibility threshold;

[0169] The generation module 302 is further configured to, when the first judgment module 304 determines that the credibility value is less than the preset credibility threshold, generate warning feedback information according to the first associated object information and the credibility value of the target associated object. The warning feedback information is associated with the tendering and bidding material information corresponding to the target associated object;

[0170] When the first judgment module 304 determines that all credibility values are greater than or equal to the preset credibility threshold, it triggers the generation module 302 to generate information processing control parameters for each tendering and bidding material information according to the first associated object information of all target associated objects, so as to perform information processing operations that match each tendering and bidding material information.

[0171] It can be seen that implementing this optional embodiment can, after screening all target associated objects, perform multi-dimensional credit analysis on the target associated objects, calculate a credibility value representing the creditworthiness of the target associated objects, and when it is determined that the credibility value is less than a preset credibility threshold, generate warning feedback information associated with the tendering and bidding material information corresponding to the target associated object according to the first associated object information and the credibility value of the target associated object, so that the corresponding tendering and bidding material information is accompanied by the above warning feedback information, thereby improving the accuracy and timeliness of the security warning in tendering and bidding processing, facilitating improving the accuracy of tendering and bidding risk control, and promoting the stable progress of construction projects.

[0172] In the embodiment of the present invention, as another optional implementation manner, the specific manner in which the above generation module 302 generates an information processing control parameter for each tendering and bidding material information according to the first associated object information of all target associated objects to perform a matching information processing operation on each tendering and bidding material information includes:

[0173] For each tendering and bidding material information, determine the information collection link of the tendering and bidding material information according to the first associated object information of all target associated objects of the tendering and bidding material information;

[0174] For each target associated object in the information collection link, determine the second permission information of the target associated object for the tendering and bidding material information according to the first permission information of the target associated object and the first associated object information of the target associated object;

[0175] Determine the information processing rule of the tendering and bidding material information according to all the second permission information and the information collection link;

[0176] Generate an information processing control parameter for each tendering and bidding material information according to all the information processing rules to perform a matching information processing operation on each tendering and bidding material information.

[0177] It can be seen that after determining the target associated object that matches the bidding and tendering material information, for each piece of bidding and tendering material information, according to the first associated object information of all the target associated objects of this piece of bidding and tendering material information, the information collection link of this piece of bidding and tendering material information is determined, so as to further analyze each information collection link. Specifically, for each target associated object in the information collection link, according to the first permission information of this target associated object and the first associated object information of this target associated object, the second permission information of this target associated object for this piece of bidding and tendering material information is determined. According to all the second permission information and this information collection link in the information collection link, the information processing rule of this piece of bidding and tendering material information is determined, so as to generate the information processing control parameter of each piece of bidding and tendering material information in accordance with all the information processing rules, and perform the information processing operation that matches each piece of bidding and tendering material information, which can further improve the information security and privacy protection of the bidding and tendering material information in the process of the information collection link, is conducive to improving the accuracy and comprehensiveness of the bidding and tendering process, and improving the promotion stability and security of the construction project.

[0178] In this optional embodiment, as an optional implementation manner, the above information processing rule includes at least one information processing item, and the information processing item corresponds to different information processing times of the information collection link. The specific manner in which the above generation module 302 generates the information processing control parameter of each piece of bidding and tendering material information to perform the information processing operation that matches each piece of bidding and tendering material information includes:

[0179] For each information processing item of each information processing rule, it is judged whether there is a target information processing item that matches this information processing item in other information processing rules. When it is judged that there is a target information processing item in other information processing rules, this information processing item and the target information processing item are determined as a combined information processing item, and the combined information processing item is used to perform the same information processing operation simultaneously;

[0180] According to all the information processing rules and all the combined information processing items, the information processing control parameter of each piece of bidding and tendering material information is generated to perform the information processing operation that matches each piece of bidding and tendering material information.

[0181] It can be seen that implementing this optional embodiment can further analyze the information processing matters in the information processing rule after generating the information processing rule for each bidding material information. Specifically, by determining whether there is a target information processing matter in other information processing rules that matches this information processing matter, this information processing matter and the target information processing matter are determined as combined information processing matters, so as to perform the same information processing operation on the combined information processing matters simultaneously, which can further improve the bidding processing efficiency while ensuring the accuracy of the bidding processing and improve the recommendation efficiency of construction projects.

[0182] In an optional embodiment, the above-mentioned determination module 301 is further configured to determine the expected style processing effect information corresponding to all bidding material information according to the target demand information;

[0183] Optionally, as Figure 4 shown, the device further includes:

[0184] An acquisition module 305, configured to acquire the actual style processing effect information of all bidding material information after performing the information processing operation;

[0185] A second judgment module 306, configured to judge whether the actual style processing effect information matches the expected style processing effect information;

[0186] The determination module 301 is further configured to, when the second judgment module 306 determines that the actual style processing effect information does not match the expected style processing effect information, determine at least one target item, where the target item is an information item for which the actual style processing effect information does not match the expected style processing effect information;

[0187] An analysis module 307, configured to analyze at least one induction factor according to all target items and the first associated object information of all target associated objects, where the induction factor is used to represent the factor that causes the actual style processing effect information not to match the expected style processing effect information;

[0188] The generation module 302 is further configured to generate target feedback information according to all induction factors, where the target feedback information is associated with all bidding material information, and the target feedback information is used to feedback all induction factors to the demand object corresponding to the target demand information.

[0189] It can be seen that implementing this optional embodiment can also, after performing information processing operations that match each tendering and bidding material information based on the information processing control parameters generated for each tendering and bidding material information, by comparing the expected style processing effect information of all tendering and bidding material information corresponding to the analyzed target demand information with the actual style processing effect information of all obtained tendering and bidding material information after performing the information processing operations, when it is determined that the actual style processing effect information does not match the expected style processing effect information, determine at least one mismatched target item, and combine the first associated object information of all target associated objects to analyze at least one inducing factor representing the factors that cause the actual style processing effect information not to match the expected style processing effect information. According to all the inducing factors, generate target feedback information for feedbacking all the inducing factors to the demand object corresponding to the target demand information and associated with all tendering and bidding material information, so that the tendering and bidding material information is accompanied by the corresponding target feedback information, further improving the stability and error correction ability of the tendering and bidding process, enhancing the reverse traceability ability during the tendering and bidding process, facilitating the stable progress of construction engineering projects, and improving the progress efficiency and progress safety of construction engineering projects.

[0190] Embodiment 4

[0191] Please refer to Figure 5 , Figure 5 which is a schematic structural diagram of another intelligent tendering and bidding processing device disclosed in the embodiments of the present invention. Among them, this intelligent tendering and bidding processing device can be applied to construction engineering equipment and can also be applied to intelligent devices related to construction engineering equipment. The intelligent devices include, but are not limited to, one or more of cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent networked devices, which are not limited in the embodiments of the present invention. As Figure 5 shown, this intelligent tendering and bidding processing device may include:

[0192] A memory 401 storing executable program code.

[0193] A processor 402 coupled to the memory 401.

[0194] The processor 402 calls the executable program code stored in the memory 401 and executes the steps in the intelligent tendering and bidding processing method described in Embodiment 1 or Embodiment 2 of the present invention.

[0195] Embodiment 5

[0196] The embodiments of the present invention disclose a computer storage medium storing computer instructions that, when called, are used to execute the steps in the intelligent tendering and bidding processing method described in Embodiment 1 or Embodiment 2 of the present invention.

[0197] Example Six

[0198] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer storage medium storing a computer program, and the computer program is operable to cause a computer to execute the steps in the intelligent bidding processing method described in Embodiment One or Embodiment Two.

[0199] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative labor.

[0200] Through the specific descriptions of the above embodiments, those skilled in the art can clearly understand that each implementation manner can be realized by means of software plus a necessary general hardware platform, and of course, it can also be realized by hardware. Based on this understanding, the above technical solution, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, and the storage medium includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically-Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM) or other optical disc memories, magnetic disk memories, tape memories, or any other computer-readable medium that can be used to carry or store data.

[0201] Finally, it should be noted that: What is disclosed by an intelligent bidding processing method and device disclosed in the embodiments of the present invention is only the preferred embodiments of the present invention, which are only used to illustrate the technical solutions of the present invention, rather than to limit it; Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: They can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; And these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent bidding processing method, characterized in that: The method comprises: Determine at least one bidding material information according to the determined target demand information; For each of the bidding material information, determine at least one first associated object information of the bidding material information; determine the first permission information of each corresponding first associated object according to each of the first associated object information; and determine the target associated object matching the bidding material information among all the first associated objects according to all of the first permission information; According to the first associated object information of all the target associated objects, information processing control parameters of each bidding material information are generated to perform matching information processing operations on each bidding material information.

2. The intelligent bidding processing method according to claim 1 is characterized in that: The step of determining, according to all the first authority information, a target associated object that matches the bidding material information among all the first associated objects includes: Determining attribute information of the bidding material information, wherein the attribute information is used to indicate at least one of the validity period, purpose, information size, and confidentiality level of the bidding material information; Determine the priority value of the bidding material information according to the attribute information, wherein the priority value is used to indicate the importance of the bidding material information; For each of the first associated objects, determine whether the first permission information of the first associated object matches the priority value. When it is determined that the first permission information of the first associated object matches the priority value, determine that the first associated object is the target associated object that matches the bidding materials information.

3. The intelligent bidding processing method according to claim 2 is characterized in that: For each of the first associated objects, determining whether the first permission information of the first associated object matches the priority value includes: Determine at least one association relationship between the first associated object and the bidding material information according to the first associated object information of the first associated object; According to the first permission information of the first associated object and all the associations of the first associated object, the association relationship value between the first associated object and the bidding material information is calculated, the first permission information of different first associated objects is different, and different first permission information contributes to the calculation of the association relationship value to different degrees, and the association relationship value is used to indicate the degree of connection between the first associated object and the bidding material information; It is determined whether the association relationship value matches the priority value. When it is determined that the association relationship value matches the priority value, it is determined that the first permission information of the first association object matches the priority value.

4. The intelligent bidding processing method according to any one of claims 1 to 3, characterized in that: The target associated object includes a demand object and an ownership object, the demand object corresponds to the target demand information, the ownership object is used to indicate an object having the temporary storage condition of the bidding material information, the ownership object includes an ownership object and a relay object, the ownership object is used to indicate an object having ownership of the bidding material information, the relay object is different from the ownership object, before generating the information processing control parameter of each bidding material information according to the first association object information of all the target associated objects to perform a matching information processing operation on each bidding material information, the method further includes: For each of the target associated objects, determine the multi-dimensional credit information of the target associated object according to the first associated object information of the target associated object, wherein the multi-dimensional credit information includes at least two of qualification information, credit information, asset information, scale information, and second associated object information; Calculating a credibility value of the target associated object based on the multi-dimensional credit information, wherein the credibility value is used to represent the credit level of the target associated object; Determine whether the credibility value is greater than or equal to a preset credibility threshold, and when it is determined that the credibility value is less than the preset credibility threshold, generate early warning feedback information according to the first associated object information of the target associated object and the credibility value, and the early warning feedback information is associated with the bidding material information corresponding to the target associated object; When it is determined that all the credibility values ​​are greater than or equal to the preset credibility threshold, the execution of the first associated object information based on all the target associated objects is triggered to generate information processing control parameters for each of the bidding material information, so as to perform matching information processing operations on each of the bidding material information.

5. The intelligent bidding processing method according to any one of claims 1 to 3, characterized in that: The step of generating information processing control parameters for each bidding material information according to the first associated object information of all the target associated objects, so as to perform a matching information processing operation on each bidding material information, includes: For each of the bidding material information, determining the information collection link of the bidding material information according to the first associated object information of all the target associated objects of the bidding material information; For each of the target associated objects in the information collection link, determining the second permission information of the target associated object for the bidding material information according to the first permission information of the target associated object and the first associated object information of the target associated object; Determining information processing rules for the bidding material information based on all the second authority information and the information collection link; According to all the information processing rules, information processing control parameters for each of the bidding material information are generated to perform matching information processing operations on each of the bidding material information.

6. The intelligent bidding processing method according to claim 5 is characterized in that: The information processing rules include at least one information processing item, and the information processing item corresponds to different information processing moments of the information collection link. The information processing control parameters of each bidding material information are generated according to all the information processing rules to perform matching information processing operations on each bidding material information, including: For each of the information processing items of each of the information processing rules, determine whether there is a target information processing item matching the information processing item in other information processing rules, and when it is determined that the target information processing item exists in other information processing rules, determine the information processing item and the target information processing item as a combined information processing item, and the combined information processing item is used to simultaneously execute the same information processing operation; According to all the information processing rules and all the combined information processing items, information processing control parameters for each of the bidding material information are generated to perform matching information processing operations on each of the bidding material information.

7. The intelligent bidding processing method according to claim 1 is characterized in that: The method further comprises: Determine the expected style processing effect information corresponding to all the bidding material information according to the target demand information; Obtaining actual style processing effect information of all the bidding material information after executing the information processing operation; determining whether the actual style processing effect information matches the expected style processing effect information, and when it is determined that the actual style processing effect information does not match the expected style processing effect information, determining at least one target item, the target item being an information item where the actual style processing effect information does not match the expected style processing effect information; analyzing at least one induction factor according to the first associated object information of all the target items and all the target associated objects, where the induction factor is used to indicate a factor that causes the actual style processing effect information to not match the expected style processing effect information; According to all the induction factors, target feedback information is generated, the target feedback information is associated with all the bidding material information, and the target feedback information is used to feed back all the induction factors to the demand objects corresponding to the target demand information.

8. An intelligent bidding processing device, characterized in that: The device comprises: A determination module, used to determine at least one bidding material information according to the determined target demand information; The determination module is further used to determine, for each piece of bidding material information, at least one first associated object information of the bidding material information; The determining module is further used to determine the first permission information of each corresponding first associated object according to each first associated object information; The determination module is further configured to determine, according to all the first authority information, a target associated object that matches the bidding material information among all the first associated objects; A generation module is used to generate information processing control parameters for each bidding material information based on the first associated object information of all the target associated objects, so as to perform matching information processing operations on each bidding material information.

9. An intelligent bidding processing device, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent bidding processing method as described in any one of claims 1-7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, which, when called, are used to execute the intelligent bidding processing method as described in any one of claims 1-7.

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