Inspection management method and system for one-user one-inspection, terminal and storage medium

Abstract

The invention discloses an inspection management method and system for one household and one inspection, a terminal and a storage medium. The method comprises the following steps: issuing basic information of a to-be-inspected room project, corresponding drawing information and a preset inspection system to an APP terminal; receiving problems collected when the scene is checked item by item according to the adaptive check system and scores of each sub-index; constructing a hierarchical structure model, and dividing all sub-indexes into a plurality of hierarchies; calculating the weight value of each sub-index in each level and the weight value of each level in the comprehensive quality score according to a preset algorithm; the quality score of each level is calculated, and the comprehensive quality score of the to-be-inspected house project is calculated. According to the invention, a visual house quality evaluation result is provided for all parties participating in construction through the quantitative scoring system, and finally a decision maker is assisted to make an optimal choice.

Description

[Technical field]

[0001] The present invention relates to the technical field of residential project acceptance, and in particular to a one-household-one-inspection inspection management method, system, terminal and storage medium. [Background technology]

[0002] At present, there is a necessary link before the owner receives the house, that is, the house inspection. In recent years, with the owners' gradually awakening rights awareness and the rise of house inspection engineers, a large number of complaints and related rights protection actions have occurred when the house is delivered. At this time, the after-sales maintenance cost is high, causing the construction unit to suffer huge economic losses, and the owner cannot deliver the house in time. Therefore, in order to ensure the quality of delivery, a large number of construction units currently use third-party assessment units to conduct one-household-one-inspection work to assist real estate enterprise managers to understand the quality status of the current projects under their jurisdiction, clarify the subsequent improvement direction, and divide the main responsibilities, so as to reduce customer complaints and improve the one-time delivery rate and customer satisfaction.

[0003] At present, the main steps of one household one verification are:

[0004] (1) Acceptance preparation: determine the scope, content, standards, etc. of the acceptance, and prepare the corresponding acceptance tools and equipment;

[0005] (2) On-site inspection: Check each house one by one, including the floor, wall, ceiling, doors and windows, electrical circuits, water pipes, etc., to confirm whether its quality, safety, environmental protection and other aspects meet the requirements;

[0006] (3) Record and corrective action: Record the problems found during the inspection, send the problem list to the construction unit, and ask the construction unit or decoration company to correct the problems. After the correction is completed, conduct another inspection to confirm the problem.

[0007] (4) Issue acceptance report: Based on the inspection results, issue a detailed acceptance report, including the acceptance scope, content, standards, inspection results, rectification status, etc.;

[0008] However, the existing solutions and technical means have the following pain points during implementation:

[0009] (1) Unclear acceptance criteria: Different houses and renovation projects have different acceptance criteria, which makes it difficult for acceptance personnel to accurately grasp the acceptance process;

[0010] (2) Low inspection efficiency: The entire process relies on manual recording and inspection, which is not only inefficient but also prone to errors, leading to quality problems and safety hazards;

[0011] (3) Low quality of acceptance personnel: Some acceptance personnel may lack professional knowledge and experience, resulting in inaccurate or missing acceptance results;

[0012] (4) Low rectification efficiency: After checking a household, there are often a large number of problems, which are scattered and hidden. It takes a lot of time for rectification personnel to find and communicate the location of the problem, and it is impossible to quickly find all the problem points;

[0013] (5) Failure to rectify problems in a timely manner: After discovering a problem, due to the failure to synchronize information in a timely manner and the technical level limitations of some construction unit personnel, rectification is often not carried out in a timely manner, affecting the delivery of the house and the owner's move-in;

[0014] (6) Insufficient application of scientific and technological means: At present, the one-household-one-inspection system still relies mainly on manual inspection and lacks the support of advanced scientific and technological means, such as intelligent detection equipment and data analysis tools.

[0015] Therefore, the existing one-household-one-inspection management method cannot efficiently handle the delivery and acceptance issues of residential projects. The low degree of informatization also makes the one-household-one-inspection inefficient. At the same time, there is no efficient, accurate and intelligent acceptance management system for one-household-one-inspection of residential projects to quantitatively evaluate the comprehensive quality of the project, improve the quality and efficiency of the fine decoration project, and match the needs of relevant parties. [Summary of the invention]

[0016] The purpose of the present invention is to provide a one-household-one-inspection inspection management method, system, terminal and storage medium, aiming to solve the problems existing in the current "one-household-one-inspection" process, such as inconsistent acceptance standards, incomplete problem inspection, lack of quantitative standards for engineering quality evaluation, low rectification efficiency and untimely rectification response, so as to improve the efficiency and effectiveness of the "one-household-one-inspection" work, reduce the defect rate of each household, thereby effectively reducing customer complaints and improving overall customer satisfaction.

[0017] In order to achieve the above-mentioned object, the first aspect of the present invention provides a one-household-one-inspection inspection management method, comprising:

[0018] Step S10: Send the basic information of the house to be inspected, the corresponding drawing information and the preset inspection system to the APP end;

[0019] Step S20: receiving the problems collected by the inspectors during the on-site inspection item by item according to the adapted inspection system, and the scores of each preset sub-indicator according to the preset indicator scoring table; wherein each collected problem is directly marked on the drawing;

[0020] Step S30: calling a preset engineering problem library, automatically matching the submitted description of the acquisition problem, and obtaining corresponding rectification suggestions;

[0021] Step S40: construct a hierarchical structure model to divide all sub-indicators into multiple levels;

[0022] Step S50: Calculate the weight value of each sub-indicator in each level and the weight value of each level in the comprehensive quality score according to a preset algorithm;

[0023] Step S60: First calculate the quality score of each level according to the weight value of each sub-indicator in each level and the score of the corresponding sub-indicator, and then calculate the comprehensive quality score of the house to be inspected according to the weight value of each level in the comprehensive quality score and the quality score of the corresponding level.

[0024] In a preferred embodiment, the step S50 includes:

[0025] Step S51: Compare and analyze the importance of each pair of indicators in the comprehensive quality score according to a preset scale to construct a comprehensive quality score judgment matrix, and compare and analyze the importance of each pair of sub-indicators in each level to construct a level judgment matrix for each level; wherein the indicators of the comprehensive quality score are all levels included;

[0026] Judgment matrix A = (aij) m × n, aij represents the pairwise comparison value of the relative importance of the i-th row index to each 1...j-th column index, and the comparison value is obtained by proportional scaling;

[0027] Step S52: Calculate the weight value W of each judgment matrix by one or more methods including geometric mean method, arithmetic mean method and eigenvector method. i When at least two methods are used simultaneously, the weight value W i The values ​​obtained by each method were averaged.

[0028] In a preferred embodiment, in step S52:

[0029] The geometric mean method is:

[0030] The specific calculation steps include: first, multiply the elements of the judgment matrix A row by row to obtain a new vector; second, raise each component of the new vector to the nth power; finally, normalize the obtained vector to obtain the weight value;

[0031] The arithmetic mean method is:

[0032] The specific calculation steps include: first, normalizing the elements of the judgment matrix A by column; second, adding the normalized columns; finally, dividing the added vector by n to obtain the weight value;

[0033] The eigenvector method is:

[0034] Multiply the weight value W by the judgment matrix A on the right, and we have AW=λmaxW, where λmax is the maximum eigenvalue of the judgment matrix A, which exists and is unique. The components of W are all positive numbers. The weight value can be obtained by normalizing the eigenvector corresponding to the maximum eigenvalue.

[0035] In a preferred embodiment, the step S50 further includes:

[0036] Step S53: Calculate the maximum eigenvalue λmax of each judgment matrix A,

[0037] Among them, AW is the product of the judgment matrix A and the eigenvector W;

[0038] Step S54: Calculate the consistency index CI of the hierarchical judgment matrix A, where:

[0039] Step S55: Calculate the random consistency ratio CR for each level of judgment matrix test, Among them, RI is the average random consistency index of the judgment matrix, and its value can be obtained by querying the preset average random consistency index table according to the number of indicators in the judgment matrix;

[0040] Step S56: Determine whether the random consistency ratio CR of the judgment matrix of each level is less than or equal to the preset threshold. If the result is yes, it is considered that the judgment matrices of each level have passed the consistency test; if the random consistency ratio CR of the judgment matrix of a certain level is greater than the preset threshold, adjust the comparison value of each sub-indicator in the level within the proportional scale.

[0041] In a preferred embodiment, the step S50 further includes:

[0042] Step S57: Calculate the random consistency ratio CR for comprehensive quality score judgment matrix inspection, In the formula, n is the number of levels, wi is the weight value of each level in the comprehensive quality score, CIi, RIi are the CI and RI of the judgment matrix of each level respectively;

[0043] Step S58: determine whether the random consistency ratio CR of the comprehensive quality score judgment matrix is ​​less than or equal to a preset threshold. If the result is yes, it is considered that the comprehensive quality score judgment matrix has passed the consistency test.

[0044] In a preferred embodiment, the steps are also included:

[0045] Obtain the rectification status of the collected problems by the construction personnel. If it is determined that the problem has been solved, the corresponding problem will be cancelled on the APP side.

[0046] In a preferred embodiment, the steps are also included:

[0047] Get on-site photos taken by the APP, call the preset AI visual analysis algorithm, and automatically identify and accurately locate common problems to supplement manual inspection results.

[0048] A second aspect of the present invention provides a one-household-one-verification inspection management system, comprising:

[0049] The project information acquisition module is used to send the basic information of the project to be inspected, the corresponding drawing information and the preset inspection system to the APP end;

[0050] The score question acquisition module is used to receive the questions collected by the inspectors when they conduct item-by-item inspections on the site according to the adapted inspection system, and to score each preset sub-indicator according to the preset indicator scoring table; each collected question is directly marked on the drawing;

[0051] The rectification suggestion matching module is used to call the preset engineering problem library, automatically match the description of the submitted collection problem, and obtain the corresponding rectification suggestions;

[0052] Hierarchical structure division module, used to build a hierarchical model and divide all sub-indicators into multiple levels;

[0053] The indicator weight calculation module is used to calculate the weight value of each sub-indicator in each level and the weight value of each level in the comprehensive quality score according to the preset algorithm;

[0054] The comprehensive score calculation module is used to first calculate the quality score of each level according to the weight value of each sub-indicator in each level and the score of the corresponding sub-indicator, and then calculate the comprehensive quality score of the house inspection project according to the weight value of each level in the comprehensive quality score and the quality score of the corresponding level.

[0055] The third aspect of the present invention provides a terminal, which includes a memory, a processor, and a computer program stored in the memory. When the computer program is executed by the processor, it implements the various steps of the one-household-one-verification inspection management method as described in any one of the above implementation modes.

[0056] A fourth aspect of the present invention provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the various steps of the one-household-one-inspection management method as described in any one of the above implementation modes.

[0057] A fifth aspect of the present invention provides a computer program product, including a computer program or instructions, which, when processed and executed, implement the various steps of the one-household-one-verification inspection management method as described in any of the above implementation modes.

[0058] The inspection management method, system, terminal and storage medium of one-household-one-inspection provided by the present invention realize on-site intelligent house inspection by the inspector holding the APP end. The APP end receives and stores the basic information and drawing information of the house inspection project. The inspector conducts problem inspection on site, and the problems found can be directly marked on the drawings. When the construction unit makes rectifications, the problem points can be located by clicking on the drawings on the APP, which solves the pain point that the construction unit cannot quickly and efficiently find the problem points when rectifying the problems. In addition, the inspector checks each item according to the adapted inspection system to ensure the integrity and effectiveness of the inspection. This design solves the problem that when other systems or no system are used for one-household-one inspections in the past, there is no adapted inspection system and acceptance standards, which often leads to missed inspections, inconsistent definition of the severity of the problem, and inability to timely discover risks. In addition, a comprehensive quality scoring mechanism combined with the analytic hierarchy process is introduced to decompose complex problems into multiple levels, and a quantitative scoring system is used to provide intuitive housing quality assessment results for all parties involved in the construction, ultimately assisting decision makers in making the best choice.

Brief Description of the Drawings

[0059] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0060] Figure 1 A flow chart of the one-household-one-inspection inspection management method provided by the present invention;

[0061] Figure 2 A schematic diagram of a hierarchical structure model of an exemplary specific embodiment;

[0062] Figure 3 This is a framework diagram of the one-household-one-inspection inspection management system provided by the present invention. [Specific implementation method]

[0063] In order to make the purpose, technical solution and beneficial technical effect of the present invention clearer, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. It should be understood that the specific implementation methods described in this specification are only for explaining the present invention, not for limiting the present invention.

[0064] It should also be understood that the terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0065] It should be further understood that the term "and / or" used in the present description and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0066] Embodiment 1

[0067] In an embodiment of the present invention, a one-household-one-inspection inspection management method is provided, which is used to perform a comprehensive quality score based on the problems collected by the inspectors during the on-site house inspection and the scores of each sub-indicator. In addition, a hierarchical structural model is constructed to decompose complex problems into multiple levels, and the weight of each level of the comprehensive quality score (CQS) is calculated. There is a more fair and just evaluation of the house quality assessment of each household, and it is clearer which category is the main influencing factor, so that targeted communication can be carried out to reduce customer complaints and the selection of house construction parties can also be evaluated.

[0068] like Figure 1 As shown, the one-household-one-inspection inspection management method includes steps S10-S60.

[0069] Step S10: Send the basic information of the house to be inspected, the corresponding drawing information and the preset inspection system to the APP end.

[0070] The APP stores basic information and drawing information of the project to be inspected. When inspectors conduct on-site inspections, they can directly mark the problems they find on the drawings. When the construction unit makes rectifications, they can locate the problem points by clicking on the corresponding drawings on the APP, which solves the pain point that the construction unit cannot quickly and efficiently find the problem points when rectifying the problems. In addition, residential projects set up different inspection systems according to the business format. The systems are determined by engineering experts after organization and review, and then enter the system and are finally stored in the APP.

[0071] Step S20: Receive the problems collected by the inspectors when conducting item-by-item inspections on the site according to the adapted inspection system, and score each preset sub-indicator according to the preset indicator scoring table; wherein each collected problem is directly marked on the drawing accordingly.

[0072] Specifically, the inspectors check each item according to the adapted inspection system to ensure the integrity and effectiveness of the inspection. This design solves the problem of frequent omissions, inconsistent definition of problem severity, and failure to detect risks in a timely manner when other systems or no system are used to conduct one-by-one inspections on a household basis.

[0073] Furthermore, the on-site photos taken by the APP can be obtained, and the preset AI visual analysis algorithm can be called to automatically identify and accurately locate the most common problems as a supplement to the manual inspection results. That is, when collecting problems, the inspectors collect the problems by taking photos, and the background system calls the visual recognition algorithm to automatically classify the risks, realize the automatic identification of risk problems, and assist the inspectors in the inspection.

[0074] Step S30: calling the preset engineering problem library, automatically matching according to the description of the submitted collection problem, and obtaining corresponding rectification suggestions.

[0075] That is, according to the problems submitted during the inspection process, the backend management system (hereinafter referred to as the "one-household-one-inspection inspection management system") automatically matches rectification suggestions based on the submitted problem descriptions by calling the engineering problem database, and guides the construction unit personnel to adopt reasonable methods to rectify the problems. This design solves the problem that the previous system could not automatically match solutions and preventive measures for the quality problems found.

[0076] Furthermore, the present invention also includes the step of obtaining the rectification status of the collected problems by the construction personnel, and if it is determined that the problem has been solved, the corresponding problem is cancelled on the APP side. That is, the inspection personnel cancel the problem according to the rectification status of the construction unit personnel, that is, the problem is closed, completing the closed loop of the entire inspection.

[0077] In addition, the list of issues submitted by the APP can be automatically pushed to all parties involved (construction unit, construction unit, decoration unit, property, etc.) according to the division of responsible persons.

[0078] Step S40: construct a hierarchical model to divide all sub-indicators into multiple levels.

[0079] Specifically, the comprehensive quality score of the backend management system is to convert all the assessment collection questions into multiple (for example, 21) indicator scores. That is, the inspectors score according to the preset scoring table of each indicator during the house inspection, and then use the calculation formula of each sub-indicator to calculate the final score of each sub-indicator. The comprehensive quality score is finally calculated based on the final scores of the 21 sub-indicators. By quantifying the scores, the acceptance quality risk levels of high, medium, and low are set for the project.

[0080] It should be noted that when applying the hierarchical analysis method to analyze decision-making problems, the problems should be organized and hierarchical, and a hierarchical structure model should be constructed. These levels can be divided into three categories: the highest level (purpose level), the middle level (criteria level), and the lowest level (scheme level). The number of levels in the hierarchical structure is related to the complexity of the problem and the level of detail required for analysis. Generally, the number of levels is not limited. The elements dominated by each element in each level should generally not exceed 9. It is necessary to follow the principles of systematic comprehensiveness, stable comparability, concise scientificity, and flexible operability. For example, the specific 21 sub-indicators are as follows:

[0081] (1) Air Quality Index (AQI): The monitoring data is directly obtained and the AQI is divided into six levels based on the monitoring data, namely 1 (excellent), 3 (good), 5 (lightly polluted), 7 (moderately polluted), 9 (heavily polluted), and 11 (severely polluted).

[0082] (2) Material Quality Score (MQS): Professional assessors score materials based on factors such as material quality, brand, and environmental friendliness. The scores can be 1, 3, 5, 7, or 9 points. No specific calculation formula is required.

[0083] (3) Construction process score (WPS): It is calculated by professional evaluators based on the sub-indicators of construction process refinement, construction standardization, construction efficiency, and safe and civilized construction. The calculation formula is: WPS = Σ(sub-indicator score × sub-indicator weight), and each sub-indicator is scored (1 point, 3 points, 5 points, 7 points, 9 points).

[0084] (4) Design Reasonableness Score (DRS): Design experts or users provide feedback to evaluate the rationality, practicality and other factors of the design. The design reasonableness score (1 point, 3 points, 5 points, 7 points, 9 points) is calculated without the need for a specific calculation formula.

[0085] (5) Detail Processing Score (DPS): The quality of the decoration detail processing is evaluated by professional evaluators or user feedback, and the detail processing score (1 point, 3 points, 5 points, 7 points, 9 points) is calculated without the need for a specific calculation formula.

[0086] (6) Environmentally friendly material utilization rate (EMR): Calculation formula: (EMR = \frac{\text{number of environmentally friendly materials used}}{\text{total number of materials}}).

[0087] (7) Base material quality (BMQ): Professional assessors will score the base material quality (such as cement, sand, gypsum board, etc.) based on its quality. The base material quality score (1 point, 3 points, 5 points, 7 points, 9 points) does not require a specific calculation formula.

[0088] (8) Circuit Installation Regulatory Compliance (EIR): A professional electrician or assessor will conduct an inspection and score based on the circuit installation standards and specifications. The circuit installation regulatory compliance score (1 point, 3 points, 5 points, 7 points, 9 points) is calculated without the need for a specific calculation formula.

[0089] (9) Lighting design rationality (LDR): Lighting design rationality scores (1 point, 3 points, 5 points, 7 points, 9 points) are scored by design experts based on lighting design principles and user feedback. No specific calculation formula is required.

[0090] (10) Wall flatness (WPS_flat): Calculation formula: Use professional tools (such as the real-measurement robot UCL360SE) to measure the flatness of each wall, and convert the measurement results into scores (the inspection standard is [0, 4] mm (divided into different stages and with different error standards). Anything outside the standard is considered unqualified, and the number of qualified points is calculated. The number of qualified points / total points is the wall flatness pass rate).

[0091] (11) Wall verticality (Wall_Verticality) calculation formula: Use professional tools (such as the actual measurement robot UCL360SE) to measure the verticality of each wall, and convert the measurement results into scores (the inspection standard is [0, 4] mm (divided into different stages and different error standards). If it is outside the standard, it is unqualified. Calculate the number of qualified points. The number of qualified points / total points is the wall verticality pass rate).

[0092] (12) Corner_Squareness calculation formula: Use a square ruler or other tool to measure the squareness of the corners at each measuring point, that is, the degree of deviation of the angle from 90 degrees, and convert the measurement results into a score (the inspection standard is [0, 4] mm (divided into different stages and different error standards). If it is outside the standard, it is unqualified. Calculate the number of qualified points. The number of qualified points / total points is the qualified rate of corners).

[0093] (13) Room Squareness calculation formula: Evaluate the squareness of the room by measuring the four corners and diagonal length of the room. Use the short side wall as the reference for calibration, select three measuring points along the long side wall, compare the range of the measured values ​​(max (measurement point 1, measurement point 2, measurement point 3, ...) - min (measurement point 1, measurement point 2, measurement point 3, ...), and convert the measurement results into scores (the inspection standard is [0, 15] mm (divided into different stages and different error standards), those outside the standard are unqualified, and the qualified points are calculated. The qualified points / total points are the room squareness pass rate).

[0094] (14) Calculation formula for indoor depth deviation (Depth_Deviation): Use a rangefinder or the actual measurement robot UCL360SE to measure the actual indoor bay depth. Combined with the depth design value, measure the bay and depth separately, compare the two measured values, and convert them into scores based on the measurement results (the inspection standard is [-10, 10] mm (divided into different stages and different error standards). If it is outside the standard, it is unqualified. Calculate the qualified points. The qualified points / total points are the qualified rate of indoor depth deviation).

[0095] (15) Calculation formula for indoor net height deviation (Ceiling_Height_Deviation): Use a rangefinder or the actual measurement robot UCL360SE to measure the actual indoor net height, and convert the measurement result into a score based on the design value (the inspection standard is [-20, 20] mm (divided into different stages and different error standards). If it is outside the standard, it is unqualified, and the qualified points are calculated. The qualified points / total points are the qualified rate of indoor net height deviation).

[0096] (16) Floor flatness calculation formula: Use a level ruler or the actual measurement robot UCL360SE to measure the flatness of the floor, and convert the measurement results into a score (the inspection standard is [0, 4] mm (divided into different stages and with different error standards). Anything outside the standard is considered unqualified, and the number of qualified points is calculated. The number of qualified points / total points is the floor flatness pass rate).

[0097] (17) Floor level variation calculation formula: Measure the height difference at different locations on the ground, take the maximum value as the level variation, and convert it into a score based on the measurement result (the inspection standard is [0, 10] mm (divided into different stages and different error standards). Anything outside the standard is considered unqualified, and the number of qualified points is calculated. The number of qualified points / total number of points is the floor level variation pass rate).

[0098] (18) Calculation formula for ceiling level deviation (Ceiling_Level_Variation): Similar to the measurement method of the ground level deviation, measure the height difference at different positions of the ceiling, take the maximum value as the level deviation, and convert it into a score based on the measurement result (the inspection standard is [0, 10] mm (divided into different stages and different error standards). If it is outside the standard, it is unqualified. Calculate the number of qualified points. The number of qualified points / total points is the qualified rate of ceiling level deviation).

[0099] (19) Calculation formula for indoor door opening height deviation (Doorway_Height_Deviation): Measure the difference between the actual height of the indoor door opening and the designed height, and convert the measurement result into a score (the inspection standard is [-10, 10] mm (different stages and different error standards). If it is outside the standard, it is unqualified. Calculate the number of qualified points. The number of qualified points / total points is the qualified rate of indoor door opening height deviation).

[0100] (20) Floor installation quality (FAQ): Floor installation quality is scored by professional assessors based on floor installation standards and specifications (1 point, 3 points, 5 points, 7 points, 9 points), without the need for a specific calculation formula.

[0101] (21) Ease of post-maintenance (MMM): The ease of post-maintenance is comprehensively evaluated by professional evaluators and user feedback, and the ease of post-maintenance is scored (1 point, 3 points, 5 points, 7 points, 9 points). No specific calculation formula is required.

[0102] Step S50: Calculate the weight value of each sub-indicator in each level and the weight value of each level in the comprehensive quality score according to a preset algorithm. Specifically, step S50 includes steps S51-S58.

[0103] Step S51: Compare and analyze the importance of each pair of indicators in the comprehensive quality score according to a preset scale to construct a comprehensive quality score judgment matrix, and compare and analyze the importance of each pair of sub-indicators in each level to construct a level judgment matrix for each level; wherein the indicators of the comprehensive quality score are all levels included;

[0104] The judgment matrix A=(aij)m×n, aij represents the pairwise comparison values ​​of the relative importance of the i-th row index to each 1...j-th column index, and the comparison values ​​are obtained through proportional scaling.

[0105] It should be noted that since the weight of each level in the comprehensive quality score and each sub-indicator in the target measurement of each level is not necessarily the same, in the minds of decision makers, they each occupy a certain proportion. For this reason, the judgment matrix can be constructed by comparing and analyzing the importance of each indicator. As shown in Table 1 below, when measuring the relative importance of indicators, a nine-point ratio scale is introduced, that is, the numbers 1-9 and their reciprocals are used as scales to define the judgment matrix. Considering the difficulty of directly evaluating the weights of several indicators, the scoring rules in Table 1 are given based on the research conclusion of psychologists that "the limit ability of people to distinguish information registration is 7±2".

[0106] Table 1 Judgment matrix scale definition

[0107]

[0108] The core of this method is that it not only provides a structured framework to compare elements within the same level, but also ensures the precision and flexibility of the comparison results by using a nine-quartile scale. The construction of the judgment matrix requires decision makers or experts to carefully evaluate each set of paired indicators, thereby laying a solid foundation for subsequent weight calculation and comprehensive decision analysis. This feature of the hierarchical analysis method makes it particularly effective in dealing with complex decision-making problems, especially when it is necessary to integrate multi-faceted and multi-level information. By converting qualitative judgments into quantitative data, the hierarchical analysis method can help decision makers understand the interactions between various factors more objectively and systematically, and thus make more informed decisions.

[0109] Step S52: Calculate the weight value W of each judgment matrix by one or more methods including geometric mean method, arithmetic mean method and eigenvector method. i ; When at least two methods are used simultaneously, the weight value W i The values ​​obtained by each method were averaged.

[0110] The geometric mean method is:

[0111] The specific calculation steps include: first, multiply the elements of the judgment matrix A row by row to obtain a new vector; second, raise each component of the new vector to the nth power; finally, normalize the obtained vector to obtain the weight value.

[0112] The arithmetic mean is:

[0113] The specific calculation steps include: first, normalizing the elements of the judgment matrix A by column; second, adding the normalized columns; finally, dividing the added vector by n to obtain the weight value.

[0114] The eigenvector method is:

[0115] Multiply the weight value W by the judgment matrix A on the right, and we have AW=λmaxW, where λmax is the maximum eigenvalue of the judgment matrix A, which exists and is unique. The components of W are all positive numbers. The weight value can be obtained by normalizing the eigenvector corresponding to the maximum eigenvalue.

[0116] Furthermore, the constructed judgment matrix needs to be checked for consistency to ensure that the decision maker's judgment is logically consistent. If the consistency check is passed, the weight of each factor can be calculated. Compared with other methods for determining the weight coefficient of indicators, the biggest advantage of the hierarchical analysis method is that it can maintain the logical consistency of the expert's thinking through consistency checks. The calculation steps are:

[0117] Step S53: Calculate the maximum eigenvalue λmax of each judgment matrix A,

[0118] Among them, AW is the product of the judgment matrix A and the eigenvector W;

[0119] Step S54: Calculate the consistency index CI of the hierarchical judgment matrix A, where:

[0120] Step S55: Calculate the random consistency ratio CR for each level of judgment matrix test, Among them, RI is the average random consistency index of the judgment matrix, and its value can be obtained by querying the preset average random consistency index table according to the number of indicators in the judgment matrix.

[0121] For example, the average random consistency index RI can be obtained through the following Table 2. It can be understood that the RI value in Table 2 is not limited to that shown in the table, and can also be set accordingly according to specific circumstances.

[0122] Table 2 Average random consistency index

[0123] n 1 2 3 4 5 6 7 8 9 10 RI 0 0 0.52 0.89 1.12 1.25 1.35 1.42 1.46 1.49

[0124] Step S56: Determine whether the random consistency ratio CR of the judgment matrix of each level is less than or equal to the preset threshold. If the result is yes, it is considered that the judgment matrices of each level have passed the consistency test; if the random consistency ratio CR of the judgment matrix of a certain level is greater than the preset threshold, adjust the comparison value of each sub-indicator in the level within the proportional scale.

[0125] Furthermore, step S50 further includes: step S57: calculating the random consistency ratio CR for comprehensive quality score judgment matrix inspection,

[0126] In the formula, n is the number of levels, wi is the weight value of each level in the comprehensive quality score, CIi and RIi are the CI and RI of the judgment matrix of each level respectively;

[0127] Step S58: Determine whether the random consistency ratio CR of the comprehensive quality score judgment matrix is ​​less than or equal to a preset threshold (for example, 0.1). If the result is yes, it is considered that the comprehensive quality score judgment matrix has passed the consistency test, indicating that the obtained comprehensive evaluation index weight is appropriate.

[0128] Step S60: First calculate the quality score of each level according to the weight value of each sub-indicator in each level and the score of the corresponding sub-indicator, and then calculate the comprehensive quality score of the house to be inspected according to the weight value of each level in the comprehensive quality score and the quality score of the corresponding level.

[0129] Therefore, according to the analytic hierarchy process, the weight of each level of the comprehensive quality score (CQS) is calculated, and a more fair and just evaluation is made for the housing quality assessment of each household, which makes it clearer which category is the main influencing factor, so that targeted communication can be carried out to reduce customer complaints and the selection of housing construction parties can also be evaluated. For example, if the CQS value is above 80%, the project quality is excellent (low quality risk), if the CQS value is between 60% and 80%, the project quality is general (medium quality risk), and if the CQS value is below 60%, the project quality is poor (high quality risk). The data center of the backend management system statistically analyzes all the application data involved in this system and presents it in a visual form to assist the decision-making of all participating parties. Therefore, by checking the comprehensive quality score and evaluation level of the project, the satisfaction of the subsequent owners receiving the house is predicted, and for residential projects with low overall scores and high risks, a large-scale rectification is carried out, and a detailed list of problems is sent to each participating party to improve the comprehensive quality score through rectification.

[0130] The following will use an exemplary specific embodiment to assist in explaining each step of the above method.

[0131] (1) Create a project, upload project drawings, and complete apartment configuration: First, collect basic information of all projects to be inspected and upload apartment drawings to complete basic configuration.

[0132] (2) On-site inspection via APP: When inspectors arrive at the project site, they conduct on-site inspections of each house directly via APP. They use the system’s built-in inspection system to conduct various inspections of the house to determine whether there are any quality issues and report them directly on the APP.

[0133] (3) Photographing and reporting of special parts: Using the system’s automatic problem identification function, inspectors can accurately identify problems in difficult-to-inspect parts (such as those that are too far away or too high for close inspection) by taking photos, and collect and report them.

[0134] (4) The system background conducts risk analysis, that is, conducts comprehensive quality scoring, converts all assessment collection issues into 21 indicator scores, and finally calculates the comprehensive quality score from the 21 indicators. Through the quantified scores, the acceptance quality risk levels of high, medium, and low are set for the project.

[0135] (5) In order to reasonably express the influence of each indicator on the comprehensive quality, the hierarchical analysis method is used to calculate the weight of each indicator. The specific process is as follows:

[0136] 5.1) Hierarchical model of comprehensive quality assessment: The analysis is conducted from four levels: construction quality, housing deviation, material quality, and design maintenance level. The number of indicators at each level is 4, 9, 4, and 3 respectively. The structure is as follows: Figure 2 shown.

[0137] 5.2) Constructing the judgment matrix: By comparing the importance of each pair of indicators at each level, using the nine-quartile relative importance measurement ratio in Table 1 above, the judgment matrices at different levels are obtained as follows:

[0138] Comprehensive quality score judgment matrix A:

[0139] Construction quality judgment matrix A1:

[0140] House deviation class judgment matrix A2:

[0141]

[0142] Material quality judgment matrix A3:

[0143] Design and maintenance judgment matrix A4:

[0144] 5.3) Weight calculation and consistency check: The weights of each level are calculated using the geometric mean method, arithmetic mean method and eigenvector method mentioned above, and their consistency is checked. The results are shown in Tables 3 to 8 respectively.

[0145] Table 3 Weight coefficients of comprehensive quality score judgment matrix A

[0146]

[0147] Table 4 Weight coefficients of construction quality judgment matrix A1

[0148]

[0149] Table 5 Weight coefficients of housing deviation class judgment matrix A2

[0150]

[0151] Table 6 Weight coefficients of material quality judgment matrix A3

[0152]

[0153] Table 7 Weight coefficients of the design maintenance judgment matrix A4

[0154]

[0155] Therefore, from the results in Tables 4 to 8: First, the CR of all judgment matrices is less than 0.1, indicating that the judgment matrices at all levels have passed the consistency test; second, the weights obtained by the three different algorithms are very similar, and the weight coefficients of their various indicators are relatively stable.

[0156] 5.4) Consistency test of the total ranking of the four levels: The random consistency ratio CR of the total ranking of the comprehensive quality score judgment matrix A level is:

[0157] n=4, where wi is the weight of A1-A4, CI i ,RI i are CI and RI of A1-A4 respectively. When CR<0.10, the total ranking of the hierarchy meets the consistency requirement. According to the results of Tables 4-8 above, the following is calculated:

[0158] Geometric mean method: CR = 0.0, arithmetic mean method: CR = 0.0, eigenvector method: CR = 0.0; the CRs obtained by the three methods are all less than 0.10, indicating that they all meet the consistency requirements of the total ranking of all levels. From the results of the entire hierarchical analysis method, the final weight of each indicator can be taken as the average of the three methods, as shown in Table 8 below.

[0159] Table 8 Weight coefficients of each level

[0160]

[0161] 5.5) According to the analytic hierarchy process, the weight of each level of CQS is calculated, and a more fair and just evaluation of the housing quality assessment of each household is made. It is clearer which category is the main influencing factor, and targeted communication can be carried out to reduce customer complaints and evaluate the selection of housing construction parties. Among them, if the CQS value is above 80%, the project quality is excellent (low quality risk), if the CQS value is between 60% and 80%, the project quality is average (medium quality risk), and if the CQS value is below 60%, the project quality is poor (high quality risk). The data center of the backend management system statistically analyzes all application data involved in this system and presents it in a visual form to assist the decision-making of all participating parties.

[0162] By checking the comprehensive quality score and evaluation level of the project, we can predict the satisfaction of the subsequent owners when they receive the house. In addition, we will carry out major rectification for residential projects with low overall scores and high risks, and send a detailed list of problems to all construction parties to improve the comprehensive quality score through rectification.

[0163] (6) Automatically match corrective suggestions or preventive measures: The system background receives the problem information sent by the APP, calls the house inspection problem database, and automatically matches and recommends corresponding corrective suggestions or preventive measures.

[0164] (7) Message push: Project problem lists, risk levels and other information are pushed in real time to all parties involved in the project (construction unit, construction unit, decoration unit, property, etc.).

[0165] (8) Rectification and elimination of problems: Construction personnel open the project floor plan on the APP, check the problem points on the plan, and check the rectification suggestions below the problem. They can make rectifications according to the recommended rectification methods, and eliminate the problems, thereby optimizing the scores of 21 sub-indicators and ultimately improving the overall quality score of the project.

[0166] (9) The system background provides a visual interface and management strategy adjustment suggestions: Finally, the system background displays the processing and analysis results in the data center. This module is presented to managers in the form of a visual interface. Through the visual data cockpit, management strategy adjustment suggestions are given.

[0167] Embodiment 2

[0168] A second aspect of the present invention provides a one-household-one-inspection inspection management system 100, which is used to perform comprehensive quality scoring based on the problems collected by inspectors during on-site house inspections and the scores of various sub-indicators. It should be noted that the implementation principle and specific implementation method of the one-household-one-inspection inspection management system 100 can refer to the above-mentioned one-household-one-inspection inspection management method, which will not be repeated below.

[0169] like Figure 3 As shown, the one-household-one-inspection inspection management system 100 includes:

[0170] The project information acquisition module 10 is used to send the basic information of the house to be inspected, the corresponding drawing information and the preset inspection system to the APP end;

[0171] The score question acquisition module 20 is used to receive the questions collected by the inspectors when they conduct item-by-item inspections on the site according to the adapted inspection system and to score each preset sub-indicator according to the preset indicator scoring table; wherein each collected question is directly marked on the drawing accordingly;

[0172] The rectification suggestion matching module 30 is used to call the preset engineering problem library, automatically match the description of the submitted collection problem, and obtain the corresponding rectification suggestion;

[0173] A hierarchical structure division module 40 is used to construct a hierarchical structure model and divide all sub-indicators into multiple levels;

[0174] The indicator weight calculation module 50 is used to calculate the weight value of each sub-indicator in each level and the weight value of each level in the comprehensive quality score according to a preset algorithm;

[0175] The comprehensive score calculation module 60 is used to first calculate the quality score of each level according to the weight value of each sub-indicator in each level and the score of the corresponding sub-indicator, and then calculate the comprehensive quality score of the house inspection project according to the weight value of each level in the comprehensive quality score and the quality score of the corresponding level.

[0176] Embodiment 3

[0177] The present invention provides a terminal, which includes a memory, a processor, and a computer program stored in the memory. When the computer program is executed by the processor, the various steps of the one-household-one-verification inspection management method as described in any one of the above implementation modes are implemented.

[0178] Embodiment 4

[0179] The present invention provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the various steps of the one-household-one-inspection management method as described in any one of the above implementation modes.

[0180] Embodiment 5

[0181] The present invention provides a computer program product, including a computer program or instructions, which, when processed and executed, implement the various steps of the one-household-one-inspection management method as described in any of the above-mentioned implementation modes.

[0182] In summary, the inspection management method, system, terminal and storage medium of one-household-one-inspection provided by the present invention realize on-site intelligent house inspection by the inspector holding the APP end. The APP end receives and stores the basic information and drawing information of the house to be inspected. The inspector conducts problem inspection on site, and the problems found can be directly marked on the drawings. When the construction unit makes rectifications, the problem points can be located by clicking on the drawings on the APP, which solves the pain point that the construction unit cannot quickly and efficiently find the problem points when rectifying the problems. In addition, the inspector checks each item according to the adapted inspection system to ensure the integrity and effectiveness of the inspection. This design solves the problem that when other systems or no systems are used for one-household-one inspections in the past, there is no adapted inspection system and acceptance standards, which often leads to missed inspections, inconsistent definition of the severity of the problem, and inability to discover risks in time. In addition, a comprehensive quality scoring mechanism combined with the analytic hierarchy process is introduced to decompose complex problems into multiple levels, and a quantitative scoring system is used to provide intuitive housing quality assessment results for all parties involved in the construction, ultimately assisting decision makers in making the best choice.

[0183] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0184] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0185] Those of ordinary skill in the art will appreciate that the units and method steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0186] In the embodiments provided by the present invention, it should be understood that the disclosed systems or devices / terminal equipment and methods can be implemented in other ways. For example, the system or device / terminal equipment embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the system or unit can be electrical, mechanical or other forms.

[0187] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0188] The present invention is not limited to what is described in the specification and implementation modes, and therefore additional advantages and modifications can be easily realized by those skilled in the art. Therefore, without departing from the spirit and scope of the general concept defined by the claims and their equivalents, the present invention is not limited to the specific details, representative devices, and illustrative examples shown and described herein.

Claims

1. A one-household-one-inspection inspection management method, characterized in that: include: Step S10: Send the basic information of the house to be inspected, the corresponding drawing information and the preset inspection system to the APP end; Step S20: receiving the problems collected by the inspectors during the on-site inspection item by item according to the adapted inspection system, and the scores of each preset sub-indicator according to the preset indicator scoring table; wherein each collected problem is directly marked on the drawing; Step S30: calling a preset engineering problem library, automatically matching the submitted description of the acquisition problem, and obtaining corresponding rectification suggestions; Step S40: construct a hierarchical structure model to divide all sub-indicators into multiple levels; Step S50: Calculate the weight value of each sub-indicator in each level and the weight value of each level in the comprehensive quality score according to a preset algorithm; Step S60: First calculate the quality score of each level according to the weight value of each sub-indicator in each level and the score of the corresponding sub-indicator, and then calculate the comprehensive quality score of the house to be inspected according to the weight value of each level in the comprehensive quality score and the quality score of the corresponding level.

2. The one-household-one-inspection inspection management method according to claim 1, characterized in that: The step S50 comprises: Step S51: Compare and analyze the importance of each pair of indicators in the comprehensive quality score according to a preset scale to construct a comprehensive quality score judgment matrix, and compare and analyze the importance of each pair of sub-indicators in each level to construct a level judgment matrix for each level; wherein the indicators of the comprehensive quality score are all levels included; Judgment matrix A = (aij) m × n, aij represents the pairwise comparison value of the relative importance of the i-th row index to each 1...j-th column index, and the comparison value is obtained by proportional scaling; Step S52: Calculate the weight value W of each judgment matrix by one or more methods including geometric mean method, arithmetic mean method and eigenvector method. i When at least two methods are used simultaneously, the weight value W i The values ​​obtained by each method were averaged.

3. The one-household-one-inspection inspection management method according to claim 2, characterized in that: In step S52: The geometric mean method is: The specific calculation steps include: first, multiply the elements of the judgment matrix A row by row to obtain a new vector; second, raise each component of the new vector to the nth power; finally, normalize the obtained vector to obtain the weight value; The arithmetic mean method is: The specific calculation steps include: first, normalizing the elements of the judgment matrix A by column; second, adding the normalized columns; finally, dividing the added vector by n to obtain the weight value; The eigenvector method is: Multiply the weight value W by the judgment matrix A on the right, and we have AW=λmaxW, where λmax is the maximum eigenvalue of the judgment matrix A, which exists and is unique. The components of W are all positive numbers. The weight value can be obtained by normalizing the eigenvector corresponding to the maximum eigenvalue.

4. The one-household-one-inspection inspection management method according to claim 3, characterized in that: The step S50 further includes: Step S53: Calculate the maximum eigenvalue λmax of each judgment matrix A, Among them, AW is the product of the judgment matrix A and the eigenvector W; Step S54: Calculate the consistency index CI of the hierarchical judgment matrix A, where: Step S55: Calculate the random consistency ratio CR for each level of judgment matrix test, Among them, RI is the average random consistency index of the judgment matrix, and its value can be obtained by querying the preset average random consistency index table according to the number of indicators in the judgment matrix; Step S56: Determine whether the random consistency ratio CR of the judgment matrix of each level is less than or equal to the preset threshold. If the result is yes, it is considered that the judgment matrices of each level have passed the consistency test; if the random consistency ratio CR of the judgment matrix of a certain level is greater than the preset threshold, adjust the comparison value of each sub-indicator in the level within the proportional scale.

5. The one-household-one-inspection inspection management method according to claim 4, characterized in that: The step S50 further includes: Step S57: Calculate the random consistency ratio CR for comprehensive quality score judgment matrix inspection, In the formula, n is the number of levels, wi is the weight value of each level in the comprehensive quality score, CIi, RIi are the CI and RI of the judgment matrix of each level respectively; Step S58: determine whether the random consistency ratio CR of the comprehensive quality score judgment matrix is ​​less than or equal to a preset threshold. If the result is yes, it is considered that the comprehensive quality score judgment matrix has passed the consistency test.

6. The one-household-one-inspection inspection management method according to claim 1, characterized in that: Also includes the steps: Obtain the rectification status of the collected problems by the construction personnel. If it is determined that the problem has been solved, the corresponding problem will be cancelled on the APP side.

7. The one-household-one-inspection inspection management method according to claim 1, characterized in that: Also includes the steps: Get on-site photos taken by the APP, call the preset AI visual analysis algorithm, and automatically identify and accurately locate common problems to supplement manual inspection results.

8. A one-household-one-inspection inspection management system, characterized in that: include: The project information acquisition module is used to send the basic information of the project to be inspected, the corresponding drawing information and the preset inspection system to the APP end; The score question acquisition module is used to receive the questions collected by the inspectors when they conduct item-by-item inspections on the site according to the adapted inspection system, and to score each preset sub-indicator according to the preset indicator scoring table; each collected question is directly marked on the drawing; The rectification suggestion matching module is used to call the preset engineering problem library, automatically match the description of the submitted collection problem, and obtain the corresponding rectification suggestions; Hierarchical structure division module, used to build a hierarchical model and divide all sub-indicators into multiple levels; The indicator weight calculation module is used to calculate the weight value of each sub-indicator in each level and the weight value of each level in the comprehensive quality score according to the preset algorithm; The comprehensive score calculation module is used to first calculate the quality score of each level according to the weight value of each sub-indicator in each level and the score of the corresponding sub-indicator, and then calculate the comprehensive quality score of the house inspection project according to the weight value of each level in the comprehensive quality score and the quality score of the corresponding level.

9. A terminal, characterized in that: The terminal includes a memory, a processor, and a computer program stored in the memory. When the computer program is executed by the processor, the various steps of the one-household-one-inspection management method as described in any one of claims 1-7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the various steps of the one-household-one-inspection management method as described in any one of claims 1-7 are implemented.

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