Engineering instruction management method and system

Abstract

The invention discloses an engineering instruction management method and system, relates to the technical field of engineering instruction management, and solves the technical problems that quantitative evaluation indexes and scientific calculation models are lacked, and analysis of execution progress is not accurate enough. The progress feasibility, the technical feasibility and the resource feasibility of the execution schemes are evaluated to generate corresponding feasibility indexes, meanwhile, the feasibility indexes are summed to obtain a scheme evaluation value, the execution scheme with the maximum numerical value is selected to generate adjustment information, and the progress feasibility, the technical feasibility and the resource feasibility of the execution schemes are subjected to quantitative evaluation respectively; according to the multi-dimensional quantitative evaluation method, the progress feasibility index, the technical feasibility index and the resource feasibility index are constructed, the scheme evaluation value is obtained through comprehensive summation, the optimal execution scheme is selected to generate the adjustment information, the execution scheme most suitable for the actual engineering situation can be more comprehensively and accurately selected through the multi-dimensional quantitative evaluation method, and the engineering management decision scientificity is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering order management, and specifically to an engineering order management method and system. Background Art

[0002] In the field of engineering project management, the effective management of engineering orders plays a key role in ensuring the smooth progress of projects, ensuring project quality and progress, and controlling costs. With the continuous expansion of the scale of engineering projects and the increasing complexity of technologies, the quantity and types of engineering orders have increased significantly.

[0003] According to the patent application with the publication number CN119398714A, an engineering order management method and device are disclosed. The method includes: Step S1, presenting a product feature tree with an engineering order template to the user; Step S2, loading the engineering order change form linked to the node selected by the user at the design end in the product feature tree into the editing interface of the design system; Step S3, obtaining the content filled in by the user at the design end in the editing interface of the design system for other attributes of the engineering order change form except the specified attributes; Step S4, storing the product feature tree carrying the improved engineering order change form in XML format; Step S5, extracting the attribute content of the engineering order change form of the specified node in the product feature tree stored in XML format for online review and approval.

[0004] In the traditional engineering order management method, in terms of verifying the order source, there is a lack of a unified and standardized permission database and an efficient comparison channel, making it difficult to quickly and accurately determine whether the order issuance is regular; in the link of order execution tracking, the analysis of the execution progress is not precise enough, relying more on manual experience, lacking quantitative evaluation indicators and scientific calculation models; in terms of data processing and storage, the execution information data classification is chaotic, duplicate data is not effectively cleaned up, and the storage node allocation is unreasonable, resulting in low efficiency of data retrieval and invocation. At the same time, the access permission settings for engineering order information by different management personnel lack systematicness, easily causing information leakage or inconvenient access. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides an engineering order management method and system, which solves the problems of lacking quantitative evaluation indicators and scientific calculation models and the inaccurate analysis of the execution progress.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: An engineering order management method, which specifically includes the following steps:

[0007] Generating a correct or rejected signal for the engineering order according to the order source, and modifying the abnormal order format and content corresponding to the correct order signal;

[0008] Formulate corresponding implementation plans based on engineering instructions, execute and track the analysis, obtain the execution deviation by calculating the difference between the execution progress and the execution calculation, compare it with the threshold value, and generate a deviation analysis signal or an execution management signal;

[0009] Analyze the deviation analysis signal, determine the cause of the deviation, and judge the adjustability of the cause to generate a signal indicating that the cause is adjustable or non - adjustable. For the signal indicating that the cause is adjustable, generate adjustment information based on the cause of the deviation;

[0010] Analyze the signal indicating that the cause is non - adjustable, obtain the same implementation plan in historical data, evaluate the progress feasibility, technical feasibility, and resource feasibility of the implementation plan to generate corresponding feasibility indicators, and at the same time sum them to obtain the plan evaluation value, and select the implementation plan with the largest value to generate adjustment information;

[0011] Obtain the execution information data corresponding to the engineering instructions, classify them to obtain classified information data, and at the same time obtain the corresponding duplicate data, back up and delete them to obtain reorganized information data, and then generate an index accordingly;

[0012] Divide the storage nodes based on the quantity of the classified information data to obtain the storage node space, evenly divide the reorganized information data, and at the same time perform index marking and store it in the storage node space to generate storage information.

[0013] As a further solution of the present invention, the specific method for generating an instruction correct or rejection signal is:

[0014] Obtain the source of the engineering instruction and analyze it. If the engineering instruction is formally issued, generate an instruction correct signal; conversely, if the engineering instruction is informally issued, generate an instruction rejection signal;

[0015] Analyze the instruction correct signal, analyze the instruction format and content of the engineering instruction, and modify the engineering instruction with incorrect forms.

[0016] As a further solution of the present invention, the specific method for generating a deviation analysis signal or an execution management signal is:

[0017] Formulate a corresponding implementation plan based on the engineering instruction, monitor the execution situation, calculate the execution deviation between the execution progress and the execution calculation, and at the same time compare the execution deviation with the threshold value, and the specific value of the threshold is set by the operator;

[0018] If the execution deviation is greater than the threshold value, it indicates that there is an abnormality in the execution progress and a deviation analysis signal is generated; conversely, if the execution deviation is less than the threshold value, it indicates that the execution progress is normal and an execution management signal is generated.

[0019] As a further solution of the present invention, the specific method for analyzing the deviation analysis signal is:

[0020] Obtain the execution deviation, determine the deviation cause, and analyze the deviation cause to generate a cause adjustable signal or a cause non-adjustable signal. For the generated cause adjustable signal, adjust it based on the deviation cause and generate the corresponding adjustment information.

[0021] As a further solution of the present invention, the specific method for analyzing the cause non-adjustable signal is as follows:

[0022] Obtain historical data, and at the same time obtain the same execution plans in the historical data, label them as i, and i = 1, 2,..., j, where j represents the number of execution plans. Then evaluate the progress feasibility, technical feasibility, and resource feasibility of the execution plan i, and perform quantitative processing to obtain the corresponding feasibility indicators.

[0023] Sum up the obtained progress feasibility indicator, technical feasibility indicator, and resource feasibility indicator to obtain the plan evaluation value corresponding to the execution plan, and select the execution plan corresponding to the largest plan evaluation value as the standard to generate adjustment information.

[0024] As a further solution of the present invention, the specific method for the corresponding feasibility indicator is as follows:

[0025] Progress feasibility analysis, progress deviation rate = (actual progress - planned progress) / planned progress × 100%, task on-time completion rate = the amount of tasks completed on time / total number of tasks × 100%, and sum up the progress deviation rate and the task on-time completion rate to obtain the progress feasibility indicator.

[0026] Technical feasibility analysis method, formulate a technical complexity evaluation standard, score the technical complexity of the project, identify the technical risks in the project, and evaluate the probability and impact degree of each risk. Calculate the technical risk rate through the weighted average method, and calculate the sum of the values of the technical complexity and the technical risk rate to obtain the technical feasibility indicator.

[0027] Resource feasibility analysis, according to the formula resource utilization rate = actual used resources / total available resources × 100%, calculate the resource utilization rate. At the same time, according to the formula resource gap rate = (resource demand - resource supply) / resource demand × 100%, calculate the resource gap rate, and calculate the sum of the two values to obtain the resource feasibility indicator.

[0028] As a further solution of the present invention, the specific method for generating the corresponding index is as follows:

[0029] Obtain the corresponding execution information data according to the adjustment information and engineering instructions, classify and process the execution information data to obtain classified information data, and at the same time obtain the duplicate data in the classified information data. Then back up and delete the duplicate data to obtain restructured information data, and generate an index for the obtained restructured information data.

[0030] As a further solution of the present invention, the specific method for generating storage information is as follows:

[0031] Obtain all the labels of the restructured information data and record them as a, and a = 1, 2,..., b, where b represents the types of restructured information data in the classified information data. Then obtain the corresponding storage nodes, evenly divide the storage nodes according to the types of classified information data to obtain storage node spaces, analyze one group of storage space nodes as the analysis object, obtain the corresponding restructured information data of the analysis object, and at the same time evenly divide the restructured information data to obtain multiple groups of evenly divided data, and perform index marking on the evenly divided data. Then store it to generate storage information;

[0032] And so on, perform storage analysis on all the classified information data and generate corresponding storage information.

[0033] An engineering instruction management system, comprising:

[0034] An instruction information acquisition module, configured to acquire engineering instructions and transmit them to the instruction information analysis module;

[0035] An instruction information analysis module, configured to analyze the correctness of engineering instructions. For abnormal engineering instructions, modify their formats and contents and transmit them to the instruction adjustment analysis module;

[0036] An instruction adjustment analysis module, configured to perform execution and tracking analysis on engineering instructions. By analyzing the execution deviation of the execution progress, generate a deviation analysis signal or an execution management signal. For the deviation analysis signal, obtain the corresponding deviation reason and judge its adjustment feasibility, and generate a reason adjustable or non - adjustable signal;

[0037] For the reason non - adjustable signal, analyze the same execution plan in the historical data, evaluate it from three aspects: progress feasibility, technical feasibility, and resource feasibility, obtain the corresponding feasibility indicators at the same time, sum them to obtain the plan evaluation value, select the execution plan with the largest value to generate adjustment information, and at the same time transmit it to the instruction information storage module;

[0038] The instruction information storage module is used to obtain the execution information data corresponding to the adjustment information, classify it to obtain the classified information data, back up and delete the duplicate data to obtain the reorganized information data, generate the corresponding index, then divide the storage nodes to obtain the storage node space, and evenly divide and store the reorganized information data into the corresponding storage node space to generate the storage information.

[0039] The present invention provides an engineering instruction management method and system. Compared with the prior art, it has the following

[0040] Beneficial effects:

[0041] Through the comparison and analysis of the pre-set instruction release authority database and the standardized transmission channels, the present invention can quickly and accurately determine the legitimacy of the instruction, generate correct or rejection signals, check the instruction format and content according to the unified format standard, timely discover and correct errors, improve the instruction quality, and reduce project delays and incorrect operations caused by instruction problems.

[0042] The present invention uses project management software, on-site sensors and a regular reporting mechanism to comprehensively and real-time monitor the execution situation. Through the calculation of the quantified execution deviation and the comparison with the threshold value, it accurately judges the progress anomaly, deeply analyzes the deviation reasons, distinguishes adjustable and non-adjustable factors, generates adjustment information for the adjustable reasons, provides a scientific basis for the project progress control, and ensures the orderly progress of the project according to the plan.

[0043] The present invention quantitatively evaluates the progress, technology, and resource feasibility of the execution plan respectively, constructs progress feasibility indicators, technology feasibility indicators and resource feasibility indicators, sums them up comprehensively to obtain the plan evaluation value, selects the optimal execution plan to generate adjustment information. This multi-dimensional quantitative evaluation method can select the most suitable execution plan for the actual situation of the project more comprehensively and accurately compared with the traditional empirical judgment, and improve the scientific nature of project management decision-making.

[0044] The present invention classifies and processes the execution information data according to the data type, effectively cleans up the duplicate data, retains the latest data and backs up the redundant data, improves the data accuracy and storage efficiency, reasonably allocates the storage node space, indexes and marks the reorganized information data and then stores it to generate detailed storage information, which is convenient for data retrieval and call, and provides strong data support for project management. Brief Description of the Drawings

[0045] Figure 1 It is the method step diagram of the present invention;

[0046] Figure 2 It is the system principle block diagram of the present invention. Detailed Embodiments

[0047] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described 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 the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0048] Embodiment 1

[0049] Please refer to Figure 1 , this application provides a method for managing engineering instructions, and the method specifically includes the following steps:

[0050] Step 1, obtain the engineering instruction, and at the same time obtain the instruction source of the engineering instruction and analyze it. Compare and analyze it through a pre-set instruction release authority database and a standardized transmission channel (such as a specific email domain, a designated port of the project management information system, etc.). If the engineering instruction is formally released, generate an instruction correct signal. For example, in a large construction project, the owner uses an authorized account to send an engineering instruction to the construction party through the project-exclusive management information system. The system identifies that the instruction source and channel are both formal, so an instruction correct signal is generated. On the contrary, if the engineering instruction is informally released, generate an instruction rejection signal. For example, if it comes from an unauthorized personal email or the instruction is not submitted in the management system according to the specified process, an instruction rejection signal is generated;

[0051] Furthermore, analyze the generated instruction correct signal, analyze the instruction format and instruction content of the engineering instruction, and modify the engineering instruction with an incorrect form. According to the uniformly formulated instruction format standard, check whether the instruction number is continuous and conforms to the coding rule, whether the release date format is accurate, whether the instruction subject is concise and clear, etc. For example, in a municipal engineering project, the instruction format requires the instruction number to be in the form of year + project number + serial number. If the received instruction number is "2024 - MZ - 005", it conforms to the format standard; if the number is "24MZ5", the format is incorrect.

[0052] Step 2: Execute and track-analyze the obtained engineering instructions, and formulate corresponding implementation plans based on the engineering instructions. For example, upon receiving an engineering instruction for the decoration project of a commercial complex, it is required to complete the fine decoration work in a specific area within three months. After discussion, the project team formulates an implementation plan: In the first stage, complete the site cleaning, formulate a material procurement list, and connect with suppliers within the first half month; in the second stage, in the next one and a half months, arrange multiple types of work such as carpenters, electricians, and bricklayers to work in a sequential flow according to the processes, and clarify the daily workload and work area of each type of work; in the third stage, in the last month, conduct soft decoration arrangement, detail adjustment, and overall acceptance preparation, and monitor the implementation situation. Use project management software, on-site sensors, and a regular reporting mechanism to conduct a full-range and real-time monitoring of the implementation situation. Construction workers upload photos of work progress, completed workload data, etc. through the mobile APP every day; on-site sensors can monitor data such as the operating status of key construction equipment and material consumption, and transmit the data to the project management platform in real time. Specifically, analyze the implementation progress in the implementation situation, compare the implementation progress with the implementation calculation, calculate the implementation deviation between the two, and at the same time compare the implementation deviation with the threshold value, and the specific value of the threshold is set by the operator;

[0053] If the implementation deviation is greater than the threshold value, it indicates that there is an abnormality in the implementation progress, and a deviation analysis signal is generated. On the contrary, if the implementation deviation is less than the threshold value, it indicates that the implementation progress is normal, and an implementation management signal is generated;

[0054] Conduct an in-depth analysis of the implementation progress regularly (such as weekly or bi-weekly). Compare the actually completed workload and work results with the time nodes and expected goals in the implementation plan in detail. For example, in a road construction project, it is planned to complete 2 kilometers of road surface paving work per week. By counting the actually paved road surface length and the completed amount of base treatment per week, etc., accurately calculate the implementation progress, and through a professional calculation model, quantitatively compare the implementation progress with the implementation plan to obtain the implementation deviation value. Suppose in the main structure construction of a building project, it is planned to complete the concrete pouring up to the 10th floor by the 8th week, but actually only up to the 8th floor is completed. After calculation, the progress deviation is (10 - 8) / 10 * 100% = 20%. If the threshold value is set at 10%, then after comparison and analysis, it is obtained that the implementation progress is behind schedule, and a deviation analysis signal is generated.

[0055] Further analyze the generated deviation analysis signal, obtain the implementation deviation, and determine the deviation cause. At the same time, analyze the deviation cause to generate a cause adjustable signal or a cause non-adjustable signal. For the generated cause adjustable signal, adjust it based on the deviation cause as the standard, and generate the corresponding adjustment information;

[0056] By comprehensively reviewing project materials such as construction logs, resource allocation records, equipment maintenance reports, material procurement lists, and quality inspection reports, combined with on-site inspections and interviews with construction personnel, accurately determine the causes of deviations. For example, in a municipal road widening project, the reasons for schedule deviations may include increased difficulty in foundation construction due to complex geological conditions, frequent repairs due to sudden breakdowns of construction equipment, or delays in material supplies from suppliers, etc.

[0057] Step 3: Analyze the obtained cause non-adjustable signals to obtain historical data. At the same time, obtain the same implementation plans in the historical data, and here the implementation plan refers to the implementation plan analyzed based on the current deviation cause, and label it as i, where i = 1, 2,..., j, and j represents the number of implementation plans. Then analyze and calculate the feasibility index of implementation plan i. The calculation of the feasibility index mainly includes schedule feasibility, technical feasibility, and resource feasibility. Evaluate each of the three and perform quantitative processing to obtain the corresponding feasibility indicators.

[0058] Specifically, the schedule feasibility analysis method is as follows: By formulating a detailed project schedule plan, determine the start time, end time, and duration of each task, and analyze the dependencies between tasks. The schedule deviation rate = (actual progress - planned progress) / planned progress × 100%. The actual progress can be measured by the actual amount of tasks completed or the actual time spent, and the planned progress is the expected progress set according to the project plan. This indicator reflects the degree of deviation between the actual progress and the planned progress of the project. The task on-time completion rate = the amount of tasks completed on time / the total number of tasks × 100%. Then sum the schedule deviation rate and the task on-time completion rate to obtain the schedule feasibility indicator.

[0059] The technical feasibility analysis method is as follows: According to factors such as the technical difficulty, technical types, and technical integration degree involved in the project, formulate a comprehensive technical complexity evaluation standard, score the technical complexity of the project, identify possible technical risks in the project, such as unsolvable technical problems, rapid technological updates, etc., and evaluate the probability and impact degree of each risk. Calculate the technical risk rate through the weighted average method, and calculate the sum of the values of technical complexity and technical risk rate to obtain the technical feasibility indicator.

[0060] The resource feasibility analysis method is as follows: According to the formula resource utilization rate = actual resources used / total available resources × 100%, calculate the resource utilization rate. At the same time, according to the formula resource gap rate = (resource demand - resource supply) / resource demand × 100%, calculate the resource gap rate, and calculate the sum of the two values to obtain the resource feasibility indicator.

[0061] Sum up the obtained progress feasibility index, technical feasibility index, and resource feasibility index. Specifically, directly add the values of the three to obtain the scheme evaluation value corresponding to the execution scheme, and select the execution scheme corresponding to the largest scheme evaluation value as the standard to generate adjustment information.

[0062] Step 4: Obtain the corresponding execution information data according to the adjustment information and engineering instructions, and classify the execution information data to obtain classified information data. Here, the classification is performed according to the data type. According to the pre-set data type classification standard, for example, the data is divided into text type (such as the text description in the construction log), numerical type (such as cost amount, project quantity data), image type (such as engineering site photos, design drawings), etc., to accurately classify the execution information data, thereby obtaining classified information data. At the same time, obtain the duplicate data in the classified information data, then back up and delete the duplicate data to obtain the reorganized information data. Here, the deletion is to retain the latest duplicate data in the same group of data and delete the remaining duplicate data. When processing duplicate data, retain the record with the latest timestamp in the same group of data, back up the remaining duplicate data to a dedicated backup storage area for subsequent query and traceability, and then delete these redundant data from the original dataset to obtain the reorganized information data, and generate an index for the obtained reorganized information data;

[0063] Obtain all the reorganized information data labels and record them as a, where a = 1, 2, …, b, and b represents the types of reorganized information data in the classified information data. Then obtain the corresponding storage nodes, and evenly divide the storage nodes according to the types of classified information data to obtain storage node spaces. Here, the number of storage node spaces is the same as the number of types of classified information data. At the same time, store the classified information data in the storage node spaces. The specific storage method is as follows:

[0064] Take one group of storage space nodes as the analysis object for analysis, obtain the reorganized information data corresponding to the analysis object, evenly divide the reorganized information data to obtain multiple groups of evenly divided data, and index and mark the evenly divided data. Then store it to generate storage information;

[0065] And so on, perform storage analysis on all the classified information data and generate the corresponding storage information.

[0066] Take one group of storage space nodes as the specific analysis object. For example, select the storage node group responsible for storing numerical reorganized information data. Obtain the reorganized information data corresponding to this group of storage nodes, such as various engineering cost data, material usage data, etc., and evenly divide these reorganized information data according to the data volume size or other reasonable rules to obtain multiple groups of evenly divided data. Suppose there are 100 cost data in total, evenly divided into 5 groups, with 20 data in each group;

[0067] Index and mark each group of evenly divided data. The marked content can include information such as the number of the storage node group it belongs to and the serial number of the data group, etc., for subsequent query and management. Finally, store the evenly divided data with index marks in the corresponding storage node space, and at the same time generate detailed storage information, recording key information such as the location, time, and index mark of the data storage. For example, the storage information can be expressed as "numerical data group 3, stored in storage nodes 5 and 6, index mark is N-03-05-06, storage time is 10:30 on October 15, 2024".

[0068] Step Five: Set corresponding access permissions for the engineering instruction storage information and assign the access permissions to different management personnel.

[0069] Embodiment Two

[0070] Please refer to Figure 2 , this application provides an engineering instruction management system, which includes an instruction information acquisition module, an instruction information analysis module, an instruction adjustment analysis module, and an instruction information storage module, and combined with Figure 2 it can be known that the above functional modules are connected in a one-way electrical manner.

[0071] Instruction information acquisition module, which is used to acquire engineering instructions and transmit them to the instruction information analysis module;

[0072] Instruction information analysis module, which is used to analyze the correctness of engineering instructions. For abnormal engineering instructions, modify their formats and contents and transmit them to the instruction adjustment analysis module;

[0073] Instruction adjustment analysis module, which is used to execute and track and analyze engineering instructions. By analyzing the execution deviation of the execution progress, generate a deviation analysis signal or an execution management signal. For the deviation analysis signal, obtain the corresponding deviation reason and judge its adjustment feasibility, and generate a reason adjustable or non-adjustable signal;

[0074] For the reason non-adjustable signal, analyze the same execution plan in the historical data, evaluate it from three aspects: progress feasibility, technical feasibility, and resource feasibility, obtain the corresponding feasibility indicators at the same time, sum them to obtain the plan evaluation value, select the execution plan with the largest value to generate adjustment information, and at the same time transmit it to the instruction information storage module;

[0075] Instruction information storage module, which is used to obtain the execution information data corresponding to the adjustment information, classify it to obtain the classified information data, at the same time back up and delete the duplicate data to obtain the reorganized information data, generate the corresponding index, then divide the storage nodes to obtain the storage node space, and evenly divide and store the reorganized information data into the corresponding storage node space to generate storage information.

[0076] For some data in the above formula, only their numerical values are taken for calculation, and the parameter units are not substituted for calculation. At the same time, the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0077] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An engineering instruction management method, characterized in that, The method specifically includes the following steps: Generate an instruction correct or rejection signal according to the instruction source of the engineering instruction, and modify the abnormal instruction format and content corresponding to the instruction correct signal; Based on the engineering instruction, formulate a corresponding execution plan, execute and track the analysis, obtain the execution deviation by calculating the difference between the execution progress and the execution calculation, compare it with the threshold value, and generate a deviation analysis signal or an execution management signal; Analyze the deviation analysis signal, determine the deviation cause, and judge the adjustability of the cause to generate a cause adjustable or non-adjustable signal. For the cause adjustable signal, generate adjustment information based on the deviation cause; Analyze the cause non-adjustable signal, obtain the same execution plan in the historical data, evaluate the progress feasibility, technical feasibility and resource feasibility of the execution plan to generate the corresponding feasibility indicators, and at the same time sum them to obtain the plan evaluation value, and select the execution plan with the largest value to generate adjustment information; Obtain the execution information data corresponding to the engineering instruction, classify it to obtain the classified information data, and at the same time obtain the corresponding duplicate data, back it up and delete it to obtain the reorganized information data, and then generate an index accordingly; Divide the storage nodes according to the quantity of the classified information data to obtain the storage node space, evenly divide the reorganized information data, and at the same time perform index marking and store it in the storage node space to generate storage information.

2. The engineering instruction management method according to claim 1, wherein The specific method for generating the instruction correct or rejection signal is as follows: Obtain and analyze the instruction source of the engineering instruction. If the engineering instruction is formally issued, generate an instruction correct signal. Otherwise, if the engineering instruction is informally issued, generate an instruction rejection signal; Analyze the instruction correct signal, analyze the instruction format and instruction content of the engineering instruction, and modify the engineering instruction with an incorrect form.

3. The engineering instruction management method according to claim 1, characterized in that The specific method for generating the deviation analysis signal or the execution management signal is as follows: Based on the engineering instruction, formulate a corresponding execution plan, monitor the execution situation, calculate the execution deviation between the execution progress and the execution calculation, and at the same time compare the execution deviation with the threshold value, and the specific value of the threshold is set by the operator; If the execution deviation is greater than the threshold value, it means that the execution progress is abnormal and a deviation analysis signal is generated. Otherwise, if the execution deviation is less than the threshold value, it means that the execution progress is normal and an execution management signal is generated.

4. The engineering instruction management method according to claim 1, wherein, The specific method for analyzing the deviation analysis signal is as follows: Obtain the execution deviation, determine the deviation cause, and at the same time analyze the deviation cause to generate a cause adjustable signal or a cause non-adjustable signal. For the generated cause adjustable signal, adjust it based on the deviation cause and generate the corresponding adjustment information.

5. A method for managing engineering instructions according to claim 1, characterized in that, The specific method for analyzing the cause non-adjustable signal is as follows: Obtain the historical data, and at the same time obtain the same execution plan in the historical data, label it as i, and i = 1, 2,..., j, where j represents the number of execution plans. Then evaluate the progress feasibility, technical feasibility and resource feasibility of the execution plan i, and perform quantization processing to obtain the corresponding feasibility indicators; Sum up the obtained progress feasibility index, technical feasibility index, and resource feasibility index to obtain the solution evaluation value corresponding to the implementation solution. Select the implementation solution corresponding to the largest solution evaluation value as the standard to generate adjustment information.

6. The engineering instruction management method according to claim 5, wherein, The specific method for the corresponding feasibility index is as follows: For progress feasibility analysis, the progress deviation rate = (actual progress - planned progress) / planned progress × 100%, and the task on-time completion rate = the amount of tasks completed on time / the total number of tasks × 100%. Sum up the progress deviation rate and the task on-time completion rate to obtain the progress feasibility index. For the technical feasibility analysis method, formulate a technical complexity evaluation standard, score the technical complexity of the project, identify the technical risks in the project, and evaluate the probability and impact degree of each risk. Calculate the technical risk rate through the weighted average method, and calculate the sum of the values of the technical complexity and the technical risk rate to obtain the technical feasibility index. For resource feasibility analysis, according to the formula resource utilization rate = actual resources used / total available resources × 100%, calculate the resource utilization rate. At the same time, according to the formula resource gap rate = (resource demand - resource supply) / resource demand × 100%, calculate the resource gap rate, and calculate the sum of the two values to obtain the resource feasibility index.

7. The engineering instruction management method according to claim 1, wherein The specific method for the corresponding index generation is as follows: Obtain the corresponding execution information data according to the adjustment information and engineering instructions, classify the execution information data to obtain classified information data. At the same time, obtain the duplicate data in the classified information data, then back up and delete the duplicate data to obtain reorganized information data, and generate an index for the obtained reorganized information data.

8. The engineering instruction management method according to claim 1, characterized in that The specific method for generating storage information is as follows: Obtain all the reorganized information data labels denoted as a, and a = 1, 2, …, b, where b represents the types of reorganized information data in the classified information data. Then obtain the corresponding storage nodes, and evenly divide the storage nodes according to the types of classified information data to obtain the storage node space. Take one group of storage space nodes as the analysis object for analysis, obtain the reorganized information data corresponding to the analysis object, and evenly divide the reorganized information data to obtain multiple groups of evenly divided data. Mark the evenly divided data with an index, and then store it to generate storage information. And so on, perform storage analysis on all the classified information data and generate the corresponding storage information.

9. An engineering instruction management system for executing an engineering instruction management method according to any one of claims 1-8, characterized in that, It includes: An instruction information acquisition module, which is used to acquire engineering instructions and transmit them to the instruction information analysis module; An instruction information analysis module, which is used to analyze the correctness of engineering instructions. For abnormal engineering instructions, modify their formats and contents and transmit them to the instruction adjustment analysis module; An instruction adjustment analysis module, which is used to perform execution and tracking analysis on engineering instructions. By analyzing the execution deviation of the execution progress, generate a deviation analysis signal or an execution management signal. For the deviation analysis signal, obtain the corresponding deviation reason and judge its adjustment feasibility, and generate a reason adjustable or non-adjustable signal. For the non-adjustable cause signal, analyze the same execution plan in the historical data, evaluate it in three ways: progress feasibility, technical feasibility, and resource feasibility. At the same time, obtain the corresponding feasibility indicators, sum them to get the plan evaluation value, select the execution plan with the largest value to generate adjustment information, and transmit it to the instruction information storage module; The instruction information storage module is used to obtain the execution information data corresponding to the adjustment information, classify it to obtain the classified information data, backup and delete the duplicate data to obtain the restructured information data, generate the corresponding index, then divide the storage nodes to obtain the storage node space, and evenly divide and store the restructured information data into the corresponding storage node space to generate storage information.

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