An information consulting service system based on enterprise management

Abstract

The present invention discloses an information consulting service system based on enterprise management, which relates to the field of management technology, including a previous information acquisition module, an industry condition formulation module, a real-time update module, a feature matching module, a change prediction module, a risk loss module, a cost consumption module and a fault cost module. The advantages of the present invention are: the industry condition formulation module can improve the autonomy of the enterprise, meet the personalized needs of the enterprise, enable the enterprise to more accurately define the conditions that the enterprise is concerned about, and solve the retrieval problem caused by unfamiliarity or difficulty in entering complete rare characters. The cost consumption module can enable the enterprise to clearly understand the daily consumption required for system operation, which helps the enterprise to make more wise decisions, facilitates the enterprise to optimize resource allocation, and improves the efficiency of resource use. The fault cost module can provide the enterprise with a reference for fault repair funds, so that the enterprise is mentally prepared for potential problems.

Description

Technical Field

[0001] The present invention relates to the field of management technology, in particular to an information consulting service system based on enterprise management. Background Art

[0002] Enterprise management is an objective requirement and inevitable product of the development of large-scale socialized production. It is caused by the common labor of people in the process of exchange. When social production develops to a certain stage, all large-scale common labor needs to be directed to a greater or lesser extent to coordinate individual activities. Through supervision and regulation of the entire labor process, individual labor is subject to the overall requirements of production to ensure that the entire labor process proceeds normally according to the predetermined purpose. Especially in modern society where science and technology are highly developed, products are changing with each passing day, and the market is changing rapidly, enterprise management becomes increasingly important.

[0003] The common enterprise management information consulting service system on the market is not convenient to meet the personalized needs of users when using it, and it is impossible to calculate the daily cost of the enterprise to run the system. When a failure occurs, it is impossible to provide the enterprise with a reference for the fault repair cost. At the same time, it is impossible to calculate the financial loss when a failure occurs at different investment stages, and it is impossible to provide the enterprise with a clear reference for stage losses. For this reason, we propose an information consulting service system based on enterprise management. Summary of the invention

[0004] The purpose of the present invention is to provide an information consulting service system based on enterprise management.

[0005] In order to solve the problems raised in the above background technology, the present invention provides the following technical solutions: an information consulting service system based on enterprise management, including a previous information acquisition module, an industry condition formulation module, a real-time update module, a feature matching module, a change prediction module, a risk loss module, a cost consumption module and a failure cost module;

[0006] The previous information acquisition module collects previous information and cleans it to reduce the space required for processing previous information;

[0007] Industry condition formulation module, establishes condition restriction function, eliminates irrelevant information according to restriction conditions, makes the analyzed information more accurate, and extracts past features from past information;

[0008] The real-time update module formulates a real-time update cycle to obtain the current information changes in real time and then extract the real-time features of the current information;

[0009] The feature matching module matches the real-time features with the previous features to obtain the previous information similar to the current information;

[0010] The change prediction module analyzes the change trend of current information based on the difference between real-time features and previous features, and formulates an analysis cycle to predict the change of information within the analysis cycle based on the change trend;

[0011] The risk loss module analyzes the accident losses that will be caused when an accident occurs to the enterprise based on the predicted information;

[0012] Cost consumption module, which calculates the daily cost consumption when using the system;

[0013] The failure cost module analyzes common failures when using the system, and then calculates the total cost required to maintain the normal operation of the system and repair the failure content.

[0014] As a further solution of the present invention: the previous information acquisition module can acquire previous information, and while reducing the space occupied by information, it can also classify and process the information according to the set types, and then record different types of information in different nodes respectively, thereby improving the efficiency of information retrieval.

[0015] As a further solution of the present invention: the condition restriction function in the industry condition formulation module has an autonomous restriction box and a passive restriction box, wherein the enterprise can type the condition information required by the enterprise in the autonomous restriction box, and the passive restriction box will classify according to the obtained previous information, and generate condition information according to the classification content. At this time, the enterprise can directly select the condition information, and at the same time establish a radical retrieval function, and use the input of the radical to retrieve the condition information with the radical, so as to make it easier to retrieve uncommon characters, and then make the previous information pass the restriction of the condition restriction function, eliminate the information irrelevant to the condition information, and then re-record the remaining information, and then establish a classification folder to classify the previous information, and then extract the information features in different categories, and include the extracted information features as previous features, and record the previous features in the corresponding category folder.

[0016] As a further solution of the present invention: after the real-time update module formulates the real-time update cycle, the enterprise can independently set the time of the real-time update cycle, and then establish a temporary database according to the set real-time update cycle time. At the same time, the real-time update module can obtain the information processed by the industry condition formulation module, thereby obtaining the content of the condition restriction function. At this time, the system searches and processes the content of the condition restriction function and records it in the temporary database, thereby improving the accuracy of information retrieval, thereby understanding the specific content of the current information, and then extracting the information features of the current information, incorporating the information features of the current information as current features, and recording the current features on the corresponding current information. When the time to establish the temporary database reaches the set real-time update cycle time, the current information in the temporary database will be transmitted to the previous information acquisition module, and then the temporary database will be re-established.

[0017] As a further solution of the present invention: the feature matching module can obtain the current feature of the current information, and then use the current feature to search and match the previous feature to obtain the previous information closest to the current information. When calculating the matching degree of the information feature, the current information and the previous information are summarized and processed in advance. At this time, a close digital library is established to analyze the meaning of the current feature and the previous feature. Then, according to the analyzed meaning, the current feature information and the previous feature information are recorded in the corresponding close digital library. At this time, the numbers in the close digital library are used to replace the current feature information and the previous feature information. Let the current feature information replace the digital set as , let the previous feature information replace the digital set as , assuming the digital sorting conversion method is ,in is an unknown number, and the matching degree is ;

[0018] ;

[0019] ;

[0020] The matching degree can be calculated by the above formula, and then the five groups of previous features with the highest matching degree can be extracted. At this time, the previous information corresponding to the five groups of previous features can be obtained.

[0021] As a further solution of the present invention: the change prediction module can receive information processed by the feature matching module, so as to obtain past information similar to the current information, and obtain feature information that is different from the current feature information and the previous feature information, and then incorporate the feature information that is different from the current feature information and the previous feature information into a differential feature, and then analyze the impact of the differential feature information on the information change when it appears, and predict the change direction of the current information based on the impact of the differential feature information on the information change, thereby predicting the change of information within the analysis period, wherein the shorter the analysis period, the more accurate the predicted direction of information change.

[0022] As a further solution of the present invention: the risk loss module can receive information processed by the change prediction module, and then the risk loss module establishes a stage loss calculation function to analyze the cost loss when risks occur at different investment levels. The specific investment levels are as follows:

[0023] The first level of investment level is to invest 0% to 30% of the predicted change information, and then analyze the financial losses that the investment level will bring to the enterprise when risks occur;

[0024] Secondary investment level: 30%-60% of the investment forecast change information is used, and then the financial loss that the investment level will bring to the enterprise when risks occur is analyzed;

[0025] The third level of investment is to invest more than 60% of the predicted change information, and then analyze the financial losses that the investment will bring to the company when risks occur;

[0026] At this time, it will be possible to provide enterprises with a reference for stage losses, allowing them to choose the level of investment based on their own needs.

[0027] As a further solution of the present invention: the cost consumption module can receive the information processed by the change prediction module, and then analyze and run all the programs of the system. At this time, the operating cost of the system is calculated based on the analysis of all the programs of the system, and the cost consumed every day to run the system is determined, providing an operating cost reference for the enterprise.

[0028] As a further solution of the present invention: the fault cost module can receive the information processed by the cost consumption module, so as to obtain all the programs for running the system, then retrieve all the program information about running the system, analyze the faults that are prone to occur in all the programs, and retrieve the funds required for repair after the fault occurs, and then sort and process the fault information and maintenance funds according to the probability of the fault, so as to provide the enterprise with a reference for fault repair funds.

[0029] By adopting the above technical solution, compared with the prior art, the beneficial effects of the present invention are:

[0030] 1. The present invention can improve the autonomy of enterprises through the industry condition formulation module, meet the personalized needs of enterprises, enable enterprises to more accurately define the conditions that enterprises are concerned about, and solve the retrieval problem caused by unfamiliar or difficult to enter complete rare characters. The cost consumption module can make enterprises more clearly understand the daily consumption required for system operation, which helps enterprises make more wise decisions, thereby understanding the cost consumption situation, facilitating enterprises to optimize resource allocation and improve resource utilization efficiency. The fault cost module can provide enterprises with fault repair fund references, so that enterprises can be mentally prepared for potential problems;

[0031] 2. The present invention can improve the efficiency of information retrieval through the previous information acquisition module, and can enable enterprises to independently set the time of the real-time update cycle through the real-time update module, so as to have more flexibility in information acquisition, and can synchronously acquire the content of the conditional restriction function, more accurately provide the enterprise with the information needed by the enterprise, and transmit the content of the temporary database to the previous information acquisition module to realize the orderly flow and accumulation of information, and prevent the system from repeatedly detecting and recording relevant information;

[0032] 3. The present invention can conduct detailed analysis on risks under different investment levels through the risk loss module, provide enterprises with more accurate risk loss assessment, and provide enterprises with clear stage loss references, so that they can make choices that are more in line with their own risk tolerance and development needs, and enable enterprises to formulate corresponding response strategies and plans in advance. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 Schematic diagram of the system flow in an embodiment of the present invention. DETAILED DESCRIPTION

[0034] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention.

[0035] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0036] Please refer to the attached Figure 1 , the present invention is an information consulting service system based on enterprise management, including a previous information acquisition module, an industry condition formulation module, a real-time update module, a feature matching module, a change prediction module, a risk loss module, a cost consumption module and a failure cost module;

[0037] The previous information acquisition module collects previous information and cleans it to reduce the space required for processing previous information;

[0038] Industry condition formulation module, establishes condition restriction function, eliminates irrelevant information according to restriction conditions, makes the analyzed information more accurate, and extracts past features from past information;

[0039] The real-time update module formulates a real-time update cycle to obtain the current information changes in real time and then extract the real-time features of the current information;

[0040] The feature matching module matches the real-time features with the previous features to obtain the previous information similar to the current information;

[0041] The change prediction module analyzes the change trend of current information based on the difference between real-time features and previous features, and formulates an analysis cycle to predict the change of information within the analysis cycle based on the change trend;

[0042] The risk loss module analyzes the accident losses that will be caused when an accident occurs to the enterprise based on the predicted information;

[0043] Cost consumption module, which calculates the daily cost consumption when using the system;

[0044] The failure cost module analyzes common failures when using the system, and then calculates the total cost required to maintain the normal operation of the system and repair the failure content.

[0045] In one embodiment of the present invention: the previous information acquisition module can acquire previous information, and while reducing the space occupied by the information, it can also classify the information according to the set type, and then record different types of information in different nodes, thereby improving the efficiency of information retrieval.

[0046] In one embodiment of the present invention: the condition restriction function in the industry condition formulation module has an autonomous restriction box and a passive restriction box, wherein the enterprise can type the condition information required by the enterprise in the autonomous restriction box, and the passive restriction box will classify according to the previous information obtained, and generate condition information according to the classification content. At this time, the enterprise can directly select the condition information, and at the same time establish a radical search function, and use the input of the radical to retrieve the condition information with the radical, so as to make it easier to search for uncommon characters, and then make the previous information pass the restriction of the condition restriction function, eliminate the information irrelevant to the condition information, and then re-record the remaining information, and then establish a classification folder to classify the previous information, and then extract the information features in different categories, and include the extracted information features as previous features, and record the previous features in the corresponding category folder.

[0047] In one embodiment of the present invention: after the real-time update module formulates the real-time update cycle, the enterprise can independently set the time of the real-time update cycle, and then establish a temporary database according to the set real-time update cycle time. At the same time, the real-time update module can obtain the information processed by the industry condition formulation module, thereby obtaining the content of the condition restriction function. At this time, the system searches and processes the content of the condition restriction function and records it in the temporary database, thereby improving the accuracy of information retrieval, thereby understanding the specific content of the current information, and then extracting the information features of the current information, incorporating the information features of the current information as current features, and recording the current features on the corresponding current information. When the time to establish the temporary database reaches the set real-time update cycle time, the current information in the temporary database will be transmitted to the previous information acquisition module, and then the temporary database will be re-established.

[0048] In one embodiment of the present invention: the feature matching module can obtain the current feature of the current information, and then use the current feature to search and match the previous feature to obtain the previous information closest to the current information. When calculating the matching degree of the information feature, the current information and the previous information are summarized and processed in advance. At this time, a close digital library is established to analyze the meaning of the current feature and the previous feature. Then, according to the analyzed meaning, the current feature information and the previous feature information are recorded in the corresponding close digital library. At this time, the numbers in the close digital library are used to replace the current feature information and the previous feature information. Let the current feature information replace the digital set as , let the previous feature information replace the digital set as , assuming the digital sorting conversion method is ,in is an unknown number, and the matching degree is ;

[0049] ;

[0050] ;

[0051] The matching degree can be calculated by the above formula, and then the five groups of previous features with the highest matching degree can be extracted. At this time, the previous information corresponding to the five groups of previous features can be obtained.

[0052] In one embodiment of the present invention: the change prediction module can receive information processed by the feature matching module, so as to obtain past information similar to the current information, and obtain feature information that is different from the current feature information and the previous feature information, and then classify the feature information that is different from the current feature information and the previous feature information as a difference feature, and then analyze the impact of the difference feature information on the information change when it appears, and predict the change direction of the current information based on the impact of the difference feature information on the information change, thereby predicting the change of information within the analysis period, wherein the shorter the analysis period, the more accurate the predicted direction of change of the information.

[0053] In one embodiment of the present invention, the risk loss module can receive information processed by the change prediction module, and then the risk loss module establishes a stage loss calculation function to analyze the cost loss when risks occur at different investment levels. The specific investment levels are as follows:

[0054] The first level of investment level is to invest 0% to 30% of the predicted change information, and then analyze the financial losses that the investment level will bring to the enterprise when risks occur;

[0055] Secondary investment level: 30%-60% of the investment forecast change information is used, and then the financial loss that the investment level will bring to the enterprise when risks occur is analyzed;

[0056] The third level of investment is to invest more than 60% of the predicted change information, and then analyze the financial losses that the investment will bring to the company when risks occur;

[0057] At this time, it will be possible to provide enterprises with a reference for stage losses, allowing them to choose the level of investment based on their own needs.

[0058] In one embodiment of the present invention: the cost consumption module is able to receive information processed by the change prediction module, and then analyze all the programs running the system. At this time, the operating cost of the system is calculated based on the analysis of all the programs running the system, and the cost consumed every day to run the system is determined, providing an operating cost reference for the enterprise.

[0059] In one embodiment of the present invention: the fault cost module can receive the information processed by the cost consumption module, so as to obtain all the programs for running the system, then retrieve all the program information about running the system, analyze the faults that are prone to occur in all the programs, and retrieve the funds required for maintenance after the fault occurs, and then sort and process the fault information and maintenance funds according to the probability of failure, so as to provide the enterprise with a reference for fault repair funds.

[0060] Example 1, please refer to the attached Figure 1 When searching for the funds needed for fault repair, you can also search for the solutions used for fault repair at the same time, and then analyze the items used for repairing different faults to determine whether the company can repair the fault independently, and display the repair solution, and then search for repair shops near the company to analyze the time it takes for the repair shop to reach the company's location and the time it takes for the repair.

[0061] Example 2, please refer to the attached Figure 1 When calculating the daily cost of running the system, a cost item entry function can be established. At this time, the enterprise can type the cost items that need to be considered as needed, and can also establish a key project column, so as to be more flexible in calculating the system operation cost and better meet the needs of the enterprise.

[0062] Example 3, please refer to the attached Figure 1 When dividing the stages into different investment levels, it can be divided according to the industry's human resource investment level, technical difficulty and innovation level, time investment level, and expected returns and payback time, making the degree division more flexible and changeable.

[0063] Specifically, the industry condition formulation module can improve the autonomy of enterprises, meet the personalized needs of enterprises, enable enterprises to more accurately define the conditions that enterprises are concerned about, and solve the retrieval problems caused by unfamiliarity or difficulty in entering complete rare characters. The cost consumption module can enable enterprises to more clearly understand the daily consumption required for system operation, which helps enterprises make more informed decisions and understand the cost consumption situation, so as to facilitate enterprises to optimize resource allocation and improve resource utilization efficiency. The fault cost module can provide enterprises with reference to fault repair funds, so that enterprises can be mentally prepared for potential problems.

[0064] Specifically, the previous information acquisition module can improve the efficiency of information retrieval, and the real-time update module can enable the enterprise to independently set the time of the real-time update cycle, so as to be more flexible in information acquisition, and can synchronously obtain the content of the conditional restriction function, and more accurately provide the enterprise with the information it needs, and the content of the temporary database can be transferred to the previous information acquisition module to realize the orderly flow and accumulation of information, and prevent the system from repeatedly detecting and recording related information.

[0065] Specifically, the risk loss module can conduct detailed analysis of risks under different investment levels, provide enterprises with more accurate risk loss assessments, and provide enterprises with clear references for stage losses, so that they can make choices that are more in line with their own risk tolerance and development needs, and enable enterprises to formulate corresponding response strategies and plans in advance.

[0066] Working principle:

[0067] First, collect past information and classify it, and record the classified past information on different nodes. Then the enterprise types the information it needs into the conditional restriction function, uses the information of the conditional restriction function to filter and process the past information, and extracts the past features in the past information. Then, obtain the current information based on the information of the conditional restriction function, and then establish a temporary database to record the current information obtained in real time in the temporary database. At the same time, the enterprise can set the update cycle of the temporary database. When the temporary database reaches the set time period, it will be deleted, and then the temporary database will be established again, and the current features of the current information will be extracted in real time. Then, the current features are retrieved from the closest past features to obtain specific past information. Then, the changing trend of the current information is analyzed based on the difference features, and the changing direction of the current information is determined. Then, according to different investment levels, the loss of the enterprise when risks occur is analyzed, so that the enterprise can choose the investment level according to its own needs. At the same time, analyze the daily cost of running the system, obtain all program information for running the system, analyze the faults that are prone to occur in all programs, and calculate the funds required for fault repair. At this point, the entire workflow ends.

[0068] At the same time, the present application uses specific words to describe the embodiments of the present application. For example, "one embodiment", "an embodiment", and / or "some embodiments" refer to a certain feature, structure or characteristic related to at least one embodiment of the present application. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more in different positions in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures or characteristics in one or more embodiments of the present application can be appropriately combined.

[0069] Some aspects of the present application may be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". The processor may be one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DAPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, or combinations thereof. In addition, various aspects of the present application may be represented as computer products located in one or more computer-readable media, which include computer-readable program codes. For example, computer-readable media may include, but are not limited to, magnetic storage devices (e.g., hard disks, floppy disks, tapes ...), optical disks (e.g., compact disks CDs, digital versatile disks DVDs ...), smart cards, and flash memory devices (e.g., cards, sticks, key drives ...).

[0070] A computer-readable medium may include a propagated data signal containing computer program code, such as in baseband or as part of a carrier wave. The propagated signal may have a variety of manifestations, including electromagnetic, optical, etc., or a suitable combination. A computer-readable medium may be any computer-readable medium other than a computer-readable storage medium, which may be connected to an instruction execution system, device or apparatus to communicate, propagate or transmit a program for use. The program code on the computer-readable medium may be propagated through any suitable medium, including radio, cable, fiber optic cable, radio frequency signal, or similar medium, or a combination of any of the above mediums.

[0071] Similarly, it should be noted that in order to simplify the description disclosed in this application, so as to help understand one or more embodiments of the invention, in the above description of the embodiments of the present application, sometimes multiple features are merged into one embodiment, drawings or descriptions thereof. However, this disclosure method does not mean that the features required by the object of the present application are more than the features mentioned in the claims. In fact, the features of the embodiment are less than all the features of the single embodiment disclosed above. In some embodiments, numbers describing the number of components and attributes are used. It should be understood that such numbers used in the description of the embodiments are modified by the modifiers "approximately", "approximately" or "substantially" in some examples. Unless otherwise specified, "approximately", "approximately" or "substantially" indicate that the numbers allow a variation of ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, which may change according to the characteristics required by individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and adopt the general method of retaining the digits. Although the numerical domains and parameters used to confirm the breadth of their range in some embodiments of the present application are approximate values, in specific embodiments, such numerical settings are as accurate as possible within the feasible range.

[0072] Although the present invention is disclosed as above in terms of preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art may make possible changes and modifications without departing from the spirit and scope of the present invention. Therefore, any modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention shall fall within the scope of protection defined by the claims of the present invention.

Claims

1. An information consulting service system for enterprise management, characterized by: It includes the previous information acquisition module, industry condition formulation module, real-time update module, feature matching module, change prediction module, risk loss module, cost consumption module and failure cost module; The previous information acquisition module collects previous information and cleans it to reduce the space required for processing previous information; Industry condition formulation module, establishes condition restriction function, eliminates irrelevant information according to restriction conditions, makes the analyzed information more accurate, and extracts past features from past information; The condition restriction function in the industry condition formulation module has an autonomous restriction box and a passive restriction box, wherein the enterprise can type the condition information required by the enterprise in the autonomous restriction box, and the passive restriction box will classify the acquired previous information and generate condition information according to the classification content. At this time, the enterprise can directly select the condition information and establish a radical search function at the same time. The radical input is used to search for condition information with the radical, so that it is easier to search for uncommon characters. Then, the previous information is restricted by the condition restriction function, and the information irrelevant to the condition information is eliminated, and the remaining information is re-recorded. Then, a classification folder is established to classify the previous information, and then the information features in different categories are extracted, and the extracted information features are included as previous features, and the previous features are recorded in the corresponding category folder; The real-time update module formulates a real-time update cycle to obtain the current information changes in real time and then extract the real-time features of the current information; The feature matching module matches the real-time features with the previous features to obtain the previous information similar to the current information; The feature matching module can obtain the current feature of the current information, and then use the current feature to search and match the previous feature to obtain the previous information closest to the current information. When calculating the matching degree of the information feature, the current information and the previous information are summarized and processed in advance. At this time, a close meaning digital library is established to analyze the meaning of the current feature and the previous feature. Then, according to the analyzed meaning, the current feature information and the previous feature information are recorded in the corresponding close meaning digital library. At this time, the numbers in the close meaning digital library are used to replace the current feature information and the previous feature information. Let the current feature information replace the digital set as D S =[D S1 , D S2 , D S3 ,……,D SX ], let the previous feature information replace the digital set as Y S =[Y S1 , Y S2 , Y S3 ,……,Y SX ], let the digital sorting conversion method be P Z , where X is an unknown number, let the matching degree be P D ; The matching degree can be calculated by the above formula, and then the five groups of previous features with the highest matching degree can be extracted. At this time, the previous information corresponding to the five groups of previous features can be obtained; The change prediction module analyzes the change trend of current information based on the difference between real-time features and previous features, and formulates an analysis cycle to predict the change of information within the analysis cycle based on the change trend; The risk loss module analyzes the accident losses that will be caused when an accident occurs to the enterprise based on the predicted information; Cost consumption module, which calculates the daily cost consumption when using the system; The failure cost module analyzes common failures when using the system and then calculates the total cost required to maintain the normal operation of the system and repair the failure content; The previous information acquisition module can acquire previous information, and at the same time, while reducing the space occupied by the information, it can also classify the information according to the set type, and then record different types of information in different nodes respectively, so as to improve the efficiency of information retrieval; After the real-time update module formulates the real-time update cycle, the enterprise can independently set the time of the real-time update cycle, and then establish a temporary database according to the set real-time update cycle time. At the same time, the real-time update module can obtain the information processed by the industry condition formulation module, thereby obtaining the content of the condition restriction function. At this time, the system searches and processes the content of the condition restriction function and records it in the temporary database, thereby improving the accuracy of information retrieval, thereby understanding the specific content of the current information, and then extracting the information features of the current information, including the information features of the current information as the current features, and recording the current features on the corresponding current information. When the time for establishing the temporary database reaches the set real-time update cycle time, the current information in the temporary database will be transmitted to the previous information acquisition module, and then the temporary database will be re-established; The change prediction module can receive information processed by the feature matching module, thereby obtaining past information similar to the current information, and obtaining feature information that is different from the current feature information and the past feature information, and then taking the feature information that is different from the current feature information and the past feature information as the difference feature, and then analyzing the impact of the difference feature information on the information change when it appears, and predicting the change direction of the current information according to the impact of the difference feature information on the information change, thereby predicting the change of the information within the analysis period, wherein the shorter the analysis period, the more accurate the prediction of the change direction of the information; The risk loss module can receive information processed by the change prediction module, and then the risk loss module establishes a stage loss calculation function to analyze the cost loss when risks occur at different investment levels. The specific investment levels are as follows: The first level of investment level is 0%-30% of the investment forecast change information, and then analyzes the financial losses that the investment level will bring to the enterprise when risks occur; Second level investment level: 30%-60% of the investment forecast change information is used, and then the investment level is analyzed to determine the financial losses that the enterprise will suffer when risks occur. The third level of investment is to invest more than 60% of the predicted change information, and then analyze the financial losses that the investment will bring to the enterprise when risks occur; At this time, it can provide enterprises with a reference for stage losses, so that enterprises can choose the degree of investment according to their own needs; When searching for the funds needed for fault repair, search for the solutions used for fault repair at the same time, then analyze the items used for different fault repairs, determine whether the enterprise independently repairs the fault, and display the repair solution, then search for repair shops near the enterprise, and analyze the time it takes for the repair shop to reach the enterprise and the time it takes for the repair shop to repair; When calculating the daily cost required to run the system, a cost item entry function is established. At this time, the enterprise enters the cost items that need to be considered according to the needs, and also establishes a key item column; When dividing the stages into different levels of investment, they are divided according to the industry's human resource investment, technical difficulty and innovation level, time investment level, and expected benefits and payback time.

2. The information consulting service system for enterprise management according to claim 1, characterized in that: The cost consumption module can receive information processed by the change prediction module, and then analyze and calculate the operating cost of the system based on the analysis of all the programs running the system, determine the cost consumed every day to run the system, and provide an operating cost reference for the enterprise.

3. The information consulting service system for enterprise management according to claim 2 is characterized in that: The fault cost module can receive information processed by the cost consumption module, thereby obtaining all the programs running the system, then retrieve all the program information about running the system, analyze the faults that are prone to occur in all the programs, and retrieve the funds needed for repairs after the fault occurs, and then sort and process the fault information and maintenance funds according to the probability of failure, so as to provide the enterprise with a reference for fault repair funds.

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