Intelligent inspection method and system

Abstract

The invention discloses an intelligent inspection method and system, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring space and internal equipment data information of a to-be-inspected area, formulating an inspection standard according to the space and internal equipment data information of the to-be-inspected area, and constructing an information acquisition system in the to-be-inspected area according to the space and internal equipment data information of the to-be-inspected area and the inspection standard, and obtaining an equipment environment information set, constructing an intelligent inspection model according to the inspection standard and the equipment environment information set, and obtaining an intelligent inspection report. According to the invention, a personalized inspection standard can be formulated according to the actual situation of the area to be inspected, the information acquisition system is constructed to acquire the inspection area information, the acquired inspection area information is analyzed, and the intelligent inspection report is automatically generated according to the analysis result, so that workers can quickly deal with hidden dangers in the area according to the intelligent inspection report; dependence on manual inspection can be reduced, and inspection efficiency, inspection quality and hidden danger processing efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to an intelligent inspection method and system. Background Art

[0002] Traditional inspection methods usually take the form of paper and pen recording, or uniformly input data into Excel. Due to poor data confidentiality, manual entry is prone to errors, data is easily lost or modified, and there is no guarantee that the inspection personnel conduct inspections in accordance with regulations, whether hidden dangers are reported in a timely manner, and whether there are missed inspections, wrong inspections, false inspections, etc. In addition, the inspection data is transmitted layer by layer, and it is difficult for the leaders of the inspection department to obtain the inspection progress and results in real time, and they are unable to make timely analysis decisions and trace the relevant persons in charge. Summary of the invention

[0003] The present invention provides an intelligent inspection method, comprising:

[0004] Step S1, the cloud platform obtains spatial data information and internal equipment data information of the area to be inspected according to the area to be inspected;

[0005] Step S2: The cloud platform formulates inspection standards based on the spatial data information and internal equipment data information of the area to be inspected;

[0006] Step S3: The cloud platform constructs an information collection system in the area to be inspected according to the spatial data information, internal equipment data information and inspection standards of the area to be inspected, and obtains the equipment environment information set;

[0007] Step S4: The cloud platform constructs an intelligent inspection model based on the inspection standards and equipment environment information set to obtain an intelligent inspection report.

[0008] In the above-mentioned intelligent inspection method, the cloud platform obtains the spatial data information and internal equipment data information of the area to be inspected according to the area to be inspected as follows:

[0009] Step S11, the cloud platform obtains spatial data information of the area to be inspected through GIS technology according to the area to be inspected;

[0010] Step S12: The cloud platform obtains the internal equipment information of the area to be inspected according to the area to be inspected.

[0011] In the above-mentioned intelligent inspection method, the cloud platform formulates the inspection standard according to the spatial data information and internal equipment data information of the inspection area as follows:

[0012] Step S21, the cloud platform formulates environmental inspection sub-standards according to the spatial data information and internal equipment data information of the area to be inspected;

[0013] Step S22: The cloud platform formulates equipment inspection sub-standards according to the spatial data information of the area to be inspected and the internal equipment data information;

[0014] Step S23: The cloud platform formulates inspection standards based on the environment and equipment inspection sub-standards.

[0015] In the above-mentioned intelligent inspection method, the cloud platform constructs an information collection system in the area to be inspected according to the spatial data information, internal equipment data information and inspection standards of the area to be inspected, and the sub-steps of obtaining the equipment environment information set are as follows:

[0016] Step S31, the cloud platform constructs an information collection system in the area to be inspected according to the spatial data information, internal equipment data information and inspection standards of the area to be inspected;

[0017] Step S32: The cloud platform collects equipment and environment data information through the information collection system;

[0018] Step S33: The cloud platform pre-processes the device and environment data information to obtain a device environment information set.

[0019] In the above-mentioned intelligent inspection method, the cloud platform constructs an intelligent inspection model according to the inspection standard and the equipment environment information set, and the sub-steps of obtaining the intelligent inspection report are as follows:

[0020] Step S41, the cloud platform constructs an intelligent inspection sub-model according to the inspection standard and the equipment environment information set;

[0021] Step S42: The cloud platform constructs an intelligent inspection model based on the intelligent inspection sub-model;

[0022] Step S43: The cloud platform transmits the equipment environment information set collected in the inspection area to the intelligent inspection model to obtain an intelligent inspection report.

[0023] In the above-mentioned intelligent inspection method, the cloud platform constructs the intelligent inspection sub-model according to the inspection standard and the equipment environment information set in the following sub-steps:

[0024] Step S411, the cloud platform constructs an environmental intelligent inspection sub-model according to the inspection standard and the equipment environment information set;

[0025] Step S412: The cloud platform constructs an intelligent equipment inspection sub-model based on the inspection standards and equipment environment information set.

[0026] The present invention also provides an intelligent inspection system, comprising:

[0027] The spatial equipment information acquisition module acquires the spatial data information and internal equipment data information of the area to be inspected according to the area to be inspected;

[0028] Inspection standard formulation module, which formulates inspection standards based on the spatial data information and internal equipment data information of the area to be inspected;

[0029] The environment equipment information collection and processing module builds an information collection system in the area to be inspected according to the spatial data information, internal equipment data information and inspection standards of the area to be inspected, and obtains the equipment environment information set;

[0030] The intelligent inspection report generation module builds an intelligent inspection model based on the inspection standards and equipment environment information set to obtain the intelligent inspection report.

[0031] In the above-mentioned intelligent inspection system, the space equipment information acquisition module specifically includes:

[0032] The spatial data information acquisition submodule acquires the spatial data information of the area to be inspected through GIS technology according to the area to be inspected;

[0033] The internal device information acquisition submodule acquires the internal device information of the area to be inspected according to the area to be inspected.

[0034] In the above-mentioned intelligent inspection system, the inspection standard formulation module specifically includes:

[0035] The sub-module for formulating environmental inspection sub-standards formulates environmental inspection sub-standards based on the spatial data information and internal equipment data information of the area to be inspected;

[0036] The equipment inspection sub-standard formulation sub-module formulates the equipment inspection sub-standard based on the spatial data information of the area to be inspected and the internal equipment data information;

[0037] The inspection standard formulation sub-module formulates inspection standards based on the environment and equipment inspection sub-standards.

[0038] In the above-mentioned intelligent inspection system, the environment equipment information collection and processing module specifically includes:

[0039] The information collection system construction submodule constructs an information collection system in the area to be inspected according to the spatial data information, internal equipment data information and inspection standards of the area to be inspected;

[0040] The equipment environment information collection submodule collects equipment and environment data information through the information collection system;

[0041] The information processing submodule pre-processes the equipment and environment data information to obtain the equipment environment information set.

[0042] In the above-mentioned intelligent inspection system, the intelligent inspection report generation module specifically includes:

[0043] The intelligent inspection sub-model construction sub-module builds the intelligent inspection sub-model according to the inspection standard and the equipment environment information set;

[0044] An intelligent inspection model construction submodule is used to construct an intelligent inspection model based on the intelligent inspection submodel;

[0045] The intelligent inspection report acquisition submodule transmits the equipment environment information set collected in the inspection area to the intelligent inspection model to obtain the intelligent inspection report.

[0046] In the above-mentioned intelligent inspection system, the intelligent inspection sub-model construction sub-module specifically includes:

[0047] The environment intelligent inspection sub-model construction sub-module constructs the environment intelligent inspection sub-model according to the inspection standard and the equipment environment information set;

[0048] The equipment intelligent inspection sub-model constructs a sub-module, and constructs the equipment intelligent inspection sub-model according to the inspection standard and the equipment environment information set.

[0049] The beneficial effects achieved by the present invention are as follows: the present invention can formulate personalized inspection standards according to the actual situation of the area to be inspected and construct an information collection system to collect inspection area information, analyze the collected inspection area information, and automatically generate an intelligent inspection report according to the analysis results, so that staff can quickly handle hidden dangers in the area according to the intelligent inspection report, which can reduce dependence on manual inspections and improve inspection efficiency, quality and hidden danger handling efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0051] Figure 1 This is a flow chart of an intelligent inspection method provided in Example 1 of the present application;

[0052] Figure 2 This is a schematic diagram of an intelligent inspection system provided in Example 2 of the present application. DETAILED DESCRIPTION

[0053] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0054] Embodiment 1

[0055] like Figure 1 As shown, the first embodiment of the present application provides an intelligent inspection method, which includes the following steps:

[0056] Step S1, the cloud platform obtains spatial data information and internal equipment data information of the area to be inspected according to the area to be inspected;

[0057] Furthermore, the cloud platform obtains the spatial data information and internal equipment data information of the area to be inspected according to the area to be inspected in the following sub-steps:

[0058] Step S11, the cloud platform obtains spatial data information of the area to be inspected through GIS technology according to the area to be inspected;

[0059] Specifically, the spatial data information of the area to be inspected includes, but is not limited to, the floor plan, area, building height, internal building layout, internal equipment layout, and personnel layout of the area to be inspected.

[0060] Step S12: The cloud platform obtains the internal equipment information of the area to be inspected according to the area to be inspected;

[0061] Specifically, the internal equipment data information of the area to be inspected includes but is not limited to equipment type, equipment quantity, equipment operation information, equipment usage information, and equipment maintenance information.

[0062] Step S2: The cloud platform formulates inspection standards based on the spatial data information and internal equipment data information of the area to be inspected;

[0063] Furthermore, the cloud platform formulates the inspection standards according to the spatial data information of the area to be inspected and the internal equipment data information as follows:

[0064] Step S21, the cloud platform formulates environmental inspection sub-standards according to the spatial data information and internal equipment data information of the area to be inspected;

[0065] Specifically, the work environment inspection sub-standard is formulated based on the spatial data information of the area to be inspected, the internal equipment data information, and combined with environmental factors such as the staff's adaptability to the work environment, production efficiency, and the impact on the external environment. The environmental inspection sub-standard includes but is not limited to temperature standards, humidity standards, lighting standards, noise standards, and layout standards for the area to be inspected.

[0066] Step S22: The cloud platform formulates equipment inspection sub-standards according to the spatial data information of the area to be inspected and the internal equipment data information;

[0067] Specifically, the equipment inspection sub-standards are formulated based on the spatial data information of the area to be inspected, the internal equipment data information and the work situation of the operators. The equipment inspection standards include but are not limited to equipment operation standards, equipment usage standards, equipment appearance standards, equipment operation parameter standards, equipment operation sound standards, and equipment operation temperature standards.

[0068] Step S23: The cloud platform formulates inspection standards according to the environment and equipment inspection sub-standards;

[0069] Specifically, inspection standards are formulated based on the environment and equipment sub-inspection standards in combination with national safety operation standards, fire protection standards and other safety-related standards. The inspection standards include but are not limited to environmental inspection standards, environmental safety inspection standards, equipment operation inspection standards, equipment safety inspection standards, fire passage safety standards, fire protection equipment safety standards, material storage safety standards, and operator safety standards, and a safety standard score is generated for each safety standard based on each safety standard.

[0070] Step S3: The cloud platform constructs an information collection system in the area to be inspected according to the spatial data information, internal equipment data information and inspection standards of the area to be inspected, and obtains the equipment environment information set;

[0071] Furthermore, the cloud platform constructs an information collection system in the area to be inspected based on the spatial data information, internal equipment data information and inspection standards of the area to be inspected. The sub-steps of obtaining the equipment environment information set are as follows:

[0072] Step S31, the cloud platform constructs an information collection system in the area to be inspected according to the spatial data information, internal equipment data information and inspection standards of the area to be inspected;

[0073] Specifically, the key inspection areas, relatively key inspection areas and general inspection areas are identified based on the spatial data information, internal equipment data information and inspection standards of the area to be inspected. Information collection equipment of different accuracy and quantity are installed according to the importance of the inspection area to build an information collection system. The information collection system includes but is not limited to video collection equipment, image collection equipment, temperature collection equipment, sound collection equipment, humidity collection equipment, brightness and illumination collection equipment, which covers all points in the area to be inspected.

[0074] Step S32: The cloud platform collects equipment and environment data information through the information collection system;

[0075] Specifically, the information collection system collects inspection-related information such as personnel activities, equipment usage, equipment operating status, equipment appearance, equipment sound, environmental noise, equipment temperature, environmental temperature, brightness, etc. in the inspection area. For example, the video acquisition device collects personnel activities and equipment usage in the inspection area, and the image acquisition device collects equipment operating status and equipment appearance.

[0076] Step S33: The cloud platform pre-processes the device and environment data information to obtain a device environment information set;

[0077] Specifically, the collected equipment and environment data information is preprocessed through data cleaning technology and data standardization technology to improve data quality, and the preprocessed data is saved to generate an equipment environment information set.

[0078] Step S4: The cloud platform constructs an intelligent inspection model according to the inspection standard and the equipment environment information set, and obtains an intelligent inspection report;

[0079] Furthermore, the cloud platform constructs an intelligent inspection model based on the inspection standards and equipment environment information set. The sub-steps for obtaining the intelligent inspection report are as follows:

[0080] Step S41, the cloud platform constructs an intelligent inspection sub-model according to the inspection standard and the equipment environment information set;

[0081] Furthermore, the cloud platform constructs the following sub-steps of the intelligent inspection sub-model based on the inspection standards and equipment environment information set:

[0082] Step S411, the cloud platform constructs an environmental intelligent inspection sub-model according to the inspection standard and the equipment environment information set;

[0083] Specifically, the environmental inspection value is calculated according to the inspection standard and the environmental information set in the equipment environment information set, and whether the environment of the inspection area meets the inspection standard is judged according to the environmental inspection value, and the inspection area is divided into a high-standard environmental area, a relatively high-standard environmental area, a medium-standard environmental area, a low-standard environmental area, and a lowest-standard environmental area. Among them, the high-standard environmental area indicates that the environment of the inspection area meets the inspection standard, the relatively high-standard environmental area indicates that most of the inspection areas meet the inspection standard, the medium-standard environmental area indicates that important inspection areas meet the inspection standard, the low-standard environmental area indicates that some important inspection areas meet the inspection standard, and the lowest-standard environmental area indicates that most areas do not meet the inspection standard.

[0084] According to the inspection standards, the environmental inspection standard vector set QBY={(λ1,bz1,yx1),(λ2,bz2,yx2)…(λ i ,bz i ,yx i )…(λn ,bz n ,yx n )}, where λ is the weight value of the environmental inspection item, bz is the standard value of the environmental inspection item, and yx is the deviable value of the environmental inspection item. The environmental data vector set HJ = {hj1, hj2…hj j …hj m}, where hj is the environmental data value; the environmental inspection value is calculated based on the environmental inspection standard vector set and the environmental data vector set.

[0085] Furthermore, the environmental inspection value expression is as follows:

[0086]

[0087] Among them, HJX is the environmental inspection value, λ i is the weight value of the i-th environmental inspection item, bz i is the standard value of the i-th environmental inspection item, hj j is the jth environmental data value of the i-th environmental inspection item, yx i is the deviation value of the i-th environmental inspection item, n is the number of environmental inspection items, the value range of i is [1,n], m is the total number of environmental data values ​​of the i-th environmental inspection item, and the value range of j is [1,m].

[0088] The environmental information set, inspection standards and environmental inspection values ​​in the equipment environment information set are input into the machine learning model for training, so that it can identify and generate environmental inspection related information based on the environmental related information in the inspection area. The environmental inspection related information includes but is not limited to environmental standard level information, temperature inspection information, humidity inspection information, lighting inspection information, noise inspection information, layout inspection information, and fire escape inspection information, and finally generate an environmental intelligent inspection sub-model.

[0089] Step S412: The cloud platform constructs a device intelligent inspection sub-model according to the inspection standard and the device environment information set;

[0090] Specifically, the equipment inspection value is calculated according to the inspection standard and the equipment information set in the equipment environment information set, and whether there is any abnormality in the equipment operation in the inspection area is determined according to the equipment inspection value. The abnormal conditions of the equipment are divided into normal equipment, slightly abnormal equipment, abnormal equipment, relatively serious abnormal equipment, and severely abnormal equipment according to the equipment inspection value; among them, normal equipment means that the equipment is operating normally and has no operating hazards, slightly abnormal equipment means that the equipment has a slight abnormality but does not affect the operation of the equipment, abnormal equipment means that the equipment has a lighter abnormality but does not affect the normal operation of the equipment in a short period of time, relatively serious abnormal equipment means that the abnormal condition of the equipment has caused a serious impact on the operation of the equipment and may cause the equipment to be unable to operate, and severely abnormal equipment means that the abnormality of the equipment causes the equipment to be unable to operate and may cause danger.

[0091] Furthermore, the device inspection value expression is as follows:

[0092]

[0093] Among them, SBX is the equipment inspection value, t is the number of equipment in the inspection area, and the value range of f is [1, t]; λ f1 is the weight value of the appearance status of the f-th device, n is the number of appearance status parts that the f-th device needs to check, wb fi is the appearance status standard of the i-th part of the f-th device, ws fi is the actual appearance status of the i-th part of the f-th device, and the value range of fi is [1,n]; λ f2 is the weight value of the operating parameters of the fth device, m is the number of operating parameters that need to be checked for the fth device, cb fj is the jth operating parameter standard of the fth device, cs fj is the jth actual operating parameter of the fth device, and the value range of fj is [1,m]; λ f3 is the weight value of the usage of the f-th device, w is the number of devices that need to be checked for usage, sb fk is the k-th usage standard of the f-th device, ss fk is the actual usage of the kth device of the fth device, and the value range of fk is [1,w]; λ f4 is the weight value of the operating temperature of the fth device, s is the number of operating temperature parts that need to be checked for the fth device, db fz The operating temperature standard of the zth part of the fth device, ds fz is the actual operating temperature of the zth part of the fth device, and the value range of fz is [1, s].

[0094] The machine learning model of the equipment information set, inspection standards and equipment inspection value input values ​​in the equipment environment information set is trained so that it can identify and generate equipment inspection related information based on the equipment related information in the inspection area. The equipment inspection related information includes but is not limited to equipment abnormality information, equipment appearance status inspection information, equipment operation efficiency inspection information, equipment operation sound inspection information, and equipment operation temperature inspection information, and finally generates the equipment intelligent inspection sub-model φ(y).

[0095] Step S42: The cloud platform constructs an intelligent inspection model based on the intelligent inspection sub-model;

[0096] Specifically, the inspection safety value in the inspection area is calculated based on the inspection standards, environmental inspection values ​​and equipment inspection values ​​to determine whether there is any hazard in the inspection area. The safety situation in the inspection area is divided into very safe, relatively safe, safety hazard, dangerous and serious danger according to the inspection safety value.

[0097] Furthermore, the inspection safety value expression is as follows:

[0098]

[0099] Among them, AQX is the inspection safety value, η i is the proportion of the i-th environmental safety score to the overall environmental safety score, hc i (HJX i ) is the i-th environmental inspection value HJX i Environmental safety score, aqh i is the i-th environmental safety standard score, n is the number of environmental inspection values, the value range of i is [1, n], μ j is the proportion of the jth device security score to the overall device security score, sy j (SBX j ) is the jth equipment inspection value SBX j Equipment security score, aqs j is the j-th equipment safety standard score, m is the number of equipment inspection values, the value range of j is [1, m], λ1 is the weight of environmental safety, λ2 is the weight of equipment safety, and λ1+λ2=1.

[0100] According to the equipment environment information set, inspection standards, and environmental intelligent inspection sub-model The equipment intelligent inspection sub-model φ(y) and the inspection safety value training generate an intelligent inspection model, so that it can output an intelligent inspection report when the equipment environment information is input, and the data that is below the inspection standard and has safety hazards will be graded and marked in the inspection report. Among them, the intelligent inspection report includes but is not limited to environmental standard level, equipment abnormality information, regional safety level, environmental inspection information, equipment inspection information, and safety conditions in the inspection area.

[0101] Step S43: The cloud platform transmits the equipment environment information set collected in the inspection area to the intelligent inspection model to obtain an intelligent inspection report;

[0102] Specifically, the information collection system collects equipment environment information in the inspection area at regular intervals and transmits the information to the intelligent inspection model through the information transmission channel to obtain an intelligent inspection report. Based on the intelligent inspection report, the staff handles the environmental equipment in the area that does not meet the standards or has safety hazards, so as to improve the safety and production efficiency in the inspection area.

[0103] Embodiment 2

[0104] like Figure 2 As shown, the second embodiment of the present application provides an intelligent inspection system, including:

[0105] The spatial equipment information acquisition module 21 acquires the spatial data information and internal equipment data information of the area to be inspected according to the area to be inspected;

[0106] Furthermore, the space equipment information acquisition module 21 includes the following submodules:

[0107] The spatial data information acquisition submodule acquires the spatial data information of the area to be inspected through GIS technology according to the area to be inspected;

[0108] Specifically, the spatial data information of the area to be inspected includes, but is not limited to, the floor plan, area, building height, internal building layout, internal equipment layout, and personnel layout of the area to be inspected.

[0109] The internal equipment information acquisition submodule acquires the internal equipment information of the area to be inspected according to the area to be inspected;

[0110] Specifically, the internal equipment data information of the area to be inspected includes but is not limited to equipment type, equipment quantity, equipment operation information, equipment usage information, and equipment maintenance information.

[0111] Inspection standard formulation module 22, formulates inspection standards according to spatial data information and internal equipment data information of the area to be inspected;

[0112] Furthermore, the inspection standard formulation module 22 includes the following submodules:

[0113] The sub-module for formulating environmental inspection sub-standards formulates environmental inspection sub-standards based on the spatial data information and internal equipment data information of the area to be inspected;

[0114] Specifically, the work environment inspection sub-standard is formulated based on the spatial data information of the area to be inspected, the internal equipment data information, and combined with environmental factors such as the staff's adaptability to the work environment, production efficiency, and the impact on the external environment. The environmental inspection sub-standard includes but is not limited to temperature standards, humidity standards, lighting standards, noise standards, and layout standards for the area to be inspected.

[0115] The equipment inspection sub-standard formulation sub-module formulates the equipment inspection sub-standard based on the spatial data information of the area to be inspected and the internal equipment data information;

[0116] Specifically, the equipment inspection sub-standards are formulated based on the spatial data information of the area to be inspected, the internal equipment data information and the work situation of the operators. The equipment inspection standards include but are not limited to equipment operation standards, equipment usage standards, equipment appearance standards, equipment operation parameter standards, equipment operation sound standards, and equipment operation temperature standards.

[0117] Inspection standard formulation submodule, which formulates inspection standards based on environment and equipment inspection substandards;

[0118] Specifically, inspection standards are formulated based on the environment and equipment sub-inspection standards in combination with national safety operation standards, fire protection standards and other safety-related standards. The inspection standards include but are not limited to environmental inspection standards, environmental safety inspection standards, equipment operation inspection standards, equipment safety inspection standards, fire passage safety standards, fire protection equipment safety standards, material storage safety standards, and operator safety standards, and a safety standard score is generated for each safety standard based on each safety standard.

[0119] The environment equipment information collection and processing module 23 constructs an information collection system in the area to be inspected according to the spatial data information, internal equipment data information and inspection standards of the area to be inspected, and obtains the equipment environment information set;

[0120] Furthermore, the environment equipment information collection and processing module 23 includes the following submodules:

[0121] The information collection system construction submodule constructs an information collection system in the area to be inspected according to the spatial data information, internal equipment data information and inspection standards of the area to be inspected;

[0122] Specifically, the key inspection areas, relatively key inspection areas and general inspection areas are identified based on the spatial data information, internal equipment data information and inspection standards of the area to be inspected. Information collection equipment of different accuracy and quantity are installed according to the importance of the inspection area to build an information collection system. The information collection system includes but is not limited to video collection equipment, image collection equipment, temperature collection equipment, sound collection equipment, humidity collection equipment, brightness and illumination collection equipment, which covers all points in the area to be inspected.

[0123] The equipment environment information collection submodule collects equipment and environment data information through the information collection system;

[0124] Specifically, the information collection system collects inspection-related information such as personnel activities, equipment usage, equipment operating status, equipment appearance, equipment sound, environmental noise, equipment temperature, environmental temperature, brightness, etc. in the inspection area. For example, the video acquisition device collects personnel activities and equipment usage in the inspection area, and the image acquisition device collects equipment operating status and equipment appearance.

[0125] The information processing submodule pre-processes the equipment and environment data information to obtain the equipment environment information set;

[0126] Specifically, the collected equipment and environment data information is preprocessed through data cleaning technology and data standardization technology to improve data quality, and the preprocessed data is saved to generate an equipment environment information set.

[0127] The intelligent inspection report generation module 24 builds an intelligent inspection model according to the inspection standard and the equipment environment information set to obtain an intelligent inspection report;

[0128] Furthermore, the intelligent inspection report generation module 24 includes the following submodules:

[0129] The intelligent inspection sub-model construction sub-module builds the intelligent inspection sub-model according to the inspection standard and the equipment environment information set;

[0130] Furthermore, the intelligent inspection sub-model construction sub-module includes the following sub-modules:

[0131] The environment intelligent inspection sub-model construction sub-module constructs the environment intelligent inspection sub-model according to the inspection standard and the equipment environment information set;

[0132] Specifically, the environmental inspection value is calculated according to the inspection standard and the environmental information set in the equipment environment information set, and whether the environment of the inspection area meets the inspection standard is judged according to the environmental inspection value, and the inspection area is divided into a high-standard environmental area, a relatively high-standard environmental area, a medium-standard environmental area, a low-standard environmental area, and a lowest-standard environmental area. Among them, the high-standard environmental area indicates that the environment of the inspection area meets the inspection standard, the relatively high-standard environmental area indicates that most of the inspection areas meet the inspection standard, the medium-standard environmental area indicates that important inspection areas meet the inspection standard, the low-standard environmental area indicates that some important inspection areas meet the inspection standard, and the lowest-standard environmental area indicates that most areas do not meet the inspection standard.

[0133] According to the inspection standards, the environmental inspection standard vector set QBY={(λ1,bz1,yx1),(λ2,bz2,yx2)…(λ i,bz i ,yx i )…(λ n ,bz n ,yx n )}, where λ is the weight value of the environmental inspection item, bz is the standard value of the environmental inspection item, and yx is the deviable value of the environmental inspection item. The environmental data vector set HJ = {hj1, hj2…hj j …hj m}, where hj is the environmental data value; the environmental inspection value is calculated based on the environmental inspection standard vector set and the environmental data vector set.

[0134] Furthermore, the environmental inspection value expression is as follows:

[0135]

[0136] Among them, HJX is the environmental inspection value, λ i is the weight value of the i-th environmental inspection item, bz i is the standard value of the i-th environmental inspection item, hj j is the jth environmental data value of the i-th environmental inspection item, yx i is the deviation value of the i-th environmental inspection item, n is the number of environmental inspection items, the value range of i is [1,n], m is the total number of environmental data values ​​of the i-th environmental inspection item, and the value range of j is [1,m].

[0137] The environmental information set, inspection standards and environmental inspection values ​​in the equipment environment information set are input into the machine learning model for training, so that it can identify and generate environmental inspection related information based on the environmental related information in the inspection area. The environmental inspection related information includes but is not limited to environmental standard level information, temperature inspection information, humidity inspection information, lighting inspection information, noise inspection information, layout inspection information, and fire escape inspection information, and finally generate an environmental intelligent inspection sub-model.

[0138] The equipment intelligent inspection sub-model construction sub-module builds the equipment intelligent inspection sub-model according to the inspection standard and equipment environment information set;

[0139] Specifically, the equipment inspection value is calculated according to the inspection standard and the equipment information set in the equipment environment information set, and whether there is any abnormality in the equipment operation in the inspection area is determined according to the equipment inspection value. The abnormal conditions of the equipment are divided into normal equipment, slightly abnormal equipment, abnormal equipment, relatively serious abnormal equipment, and severely abnormal equipment according to the equipment inspection value; among them, normal equipment means that the equipment is operating normally and has no operating hazards, slightly abnormal equipment means that the equipment has a slight abnormality but does not affect the operation of the equipment, abnormal equipment means that the equipment has a lighter abnormality but does not affect the normal operation of the equipment in a short period of time, relatively serious abnormal equipment means that the abnormal condition of the equipment has caused a serious impact on the operation of the equipment and may cause the equipment to be unable to operate, and severely abnormal equipment means that the abnormality of the equipment causes the equipment to be unable to operate and may cause danger.

[0140] Furthermore, the device inspection value expression is as follows:

[0141]

[0142] Among them, SBX is the equipment inspection value, t is the number of equipment in the inspection area, and the value range of f is [1, t]; λ f1 is the weight value of the appearance status of the f-th device, n is the number of appearance status parts that the f-th device needs to check, wb fi is the appearance status standard of the i-th part of the f-th device, ws fi is the actual appearance status of the i-th part of the f-th device, and the value range of fi is [1,n]; λ f2 is the weight value of the operating parameters of the fth device, m is the number of operating parameters that need to be checked for the fth device, cb fj is the jth operating parameter standard of the fth device, cs fj is the jth actual operating parameter of the fth device, and the value range of fj is [1,m]; λ f3 is the weight value of the usage of the f-th device, w is the number of devices that need to be checked for usage, sb fk is the k-th usage standard of the f-th device, ss fk is the actual usage of the kth device of the fth device, and the value range of fk is [1,w]; λ f4 is the weight value of the operating temperature of the fth device, s is the number of operating temperature parts that need to be checked for the fth device, db fz The operating temperature standard of the zth part of the fth device, ds fz is the actual operating temperature of the zth part of the fth device, and the value range of fz is [1, s].

[0143] The machine learning model of the equipment information set, inspection standards and equipment inspection value input values ​​in the equipment environment information set is trained so that it can identify and generate equipment inspection related information based on the equipment related information in the inspection area. The equipment inspection related information includes but is not limited to equipment abnormality information, equipment appearance status inspection information, equipment operation efficiency inspection information, equipment operation sound inspection information, and equipment operation temperature inspection information, and finally generates the equipment intelligent inspection sub-model φ(y).

[0144] An intelligent inspection model construction submodule is used to construct an intelligent inspection model based on the intelligent inspection submodel;

[0145] Specifically, the inspection safety value in the inspection area is calculated based on the inspection standards, environmental inspection values ​​and equipment inspection values ​​to determine whether there is any hazard in the inspection area. The safety situation in the inspection area is divided into very safe, relatively safe, safety hazard, dangerous and serious danger according to the inspection safety value.

[0146] Furthermore, the inspection safety value expression is as follows:

[0147]

[0148] Among them, AQX is the inspection safety value, η i is the proportion of the i-th environmental safety score to the overall environmental safety score, hc i (HJX i ) is the i-th environmental inspection value HJX i Environmental safety score, aqh i is the i-th environmental safety standard score, n is the number of environmental inspection values, the value range of i is [1, n], μ j is the proportion of the jth device security score to the overall device security score, sy j (SBXj) is the equipment safety score of the jth equipment inspection value SBXj, aqs j is the j-th equipment safety standard score, m is the number of equipment inspection values, the value range of j is [1, m], λ1 is the weight of environmental safety, λ2 is the weight of equipment safety, and λ1+λ2=1.

[0149] According to the equipment environment information set, inspection standards, and environmental intelligent inspection sub-model The equipment intelligent inspection sub-model φ(y) and the inspection safety value training generate an intelligent inspection model, so that it can output an intelligent inspection report when the equipment environment information is input, and the data that is below the inspection standard and has safety hazards will be graded and marked in the inspection report. Among them, the intelligent inspection report includes but is not limited to environmental standard level, equipment abnormality information, regional safety level, environmental inspection information, equipment inspection information, and safety conditions in the inspection area.

[0150] The intelligent inspection report acquisition submodule transmits the equipment environment information set collected in the inspection area to the intelligent inspection model to obtain the intelligent inspection report;

[0151] Specifically, the information collection system collects equipment environment information in the inspection area at regular intervals and transmits the information to the intelligent inspection model through the information transmission channel to obtain an intelligent inspection report. Based on the intelligent inspection report, the staff handles the environmental equipment in the area that does not meet the standards or has safety hazards, so as to improve the safety and production efficiency in the inspection area.

[0152] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made on the basis of the technical solution of the present invention should be included in the scope of protection of the present invention.

Claims

1. An intelligent inspection method, characterized in that: include: Step S1, the cloud platform obtains spatial data information and internal equipment data information of the area to be inspected according to the area to be inspected; Step S2: The cloud platform formulates inspection standards based on the spatial data information and internal equipment data information of the area to be inspected; Step S3: The cloud platform constructs an information collection system in the area to be inspected according to the spatial data information, internal equipment data information and inspection standards of the area to be inspected, and obtains the equipment environment information set; Step S4: The cloud platform constructs an intelligent inspection model based on the inspection standards and equipment environment information set to obtain an intelligent inspection report.

2. An intelligent inspection method as claimed in claim 1, characterized in that: The cloud platform formulates the inspection standards based on the spatial data information of the area to be inspected and the internal equipment data information as follows: Step S21, the cloud platform formulates environmental inspection sub-standards according to the spatial data information and internal equipment data information of the area to be inspected; Step S22: The cloud platform formulates equipment inspection sub-standards according to the spatial data information of the area to be inspected and the internal equipment data information; Step S23: The cloud platform formulates inspection standards based on the environment and equipment inspection sub-standards.

3. An intelligent inspection method as claimed in claim 1, characterized in that: The cloud platform builds an information collection system in the area to be inspected based on the spatial data information, internal equipment data information and inspection standards of the area to be inspected. The sub-steps for obtaining the equipment environment information set are as follows: Step S31, the cloud platform constructs an information collection system in the area to be inspected according to the spatial data information, internal equipment data information and inspection standards of the area to be inspected; Step S32: The cloud platform collects equipment and environment data information through the information collection system; Step S33: The cloud platform pre-processes the device and environment data information to obtain a device environment information set.

4. The intelligent inspection method according to claim 1, characterized in that: The cloud platform builds an intelligent inspection model based on the inspection standards and equipment environment information set. The sub-steps for obtaining the intelligent inspection report are as follows: Step S41, the cloud platform constructs an intelligent inspection sub-model according to the inspection standard and the equipment environment information set; Step S42: The cloud platform constructs an intelligent inspection model based on the intelligent inspection sub-model; Step S43: The cloud platform transmits the equipment environment information set collected in the inspection area to the intelligent inspection model to obtain an intelligent inspection report.

5. An intelligent inspection method as claimed in claim 4, characterized in that: The cloud platform constructs the intelligent inspection sub-model according to the inspection standards and equipment environment information set in the following sub-steps: Step S411, the cloud platform constructs an environmental intelligent inspection sub-model according to the inspection standard and the equipment environment information set; Step S412: The cloud platform constructs an intelligent equipment inspection sub-model based on the inspection standards and equipment environment information set.

6. An intelligent inspection system, characterized in that: include: The spatial equipment information acquisition module acquires the spatial data information and internal equipment data information of the area to be inspected according to the area to be inspected; Inspection standard formulation module, which formulates inspection standards based on the spatial data information and internal equipment data information of the area to be inspected; The environment equipment information collection and processing module builds an information collection system in the area to be inspected according to the spatial data information, internal equipment data information and inspection standards of the area to be inspected, and obtains the equipment environment information set; The intelligent inspection report generation module builds an intelligent inspection model based on the inspection standards and equipment environment information set to obtain the intelligent inspection report.

7. An intelligent inspection system as claimed in claim 6, characterized in that: Inspection standard formulation module, including: The sub-module for formulating environmental inspection sub-standards formulates environmental inspection sub-standards based on the spatial data information and internal equipment data information of the area to be inspected; The equipment inspection sub-standard formulation sub-module formulates the equipment inspection sub-standard based on the spatial data information of the area to be inspected and the internal equipment data information; The inspection standard formulation sub-module formulates inspection standards based on the environment and equipment inspection sub-standards.

8. An intelligent inspection system as claimed in claim 6, characterized in that: Environmental equipment information collection and processing module, specifically including: The information collection system construction submodule constructs an information collection system in the area to be inspected according to the spatial data information, internal equipment data information and inspection standards of the area to be inspected; The equipment environment information collection submodule collects equipment and environment data information through the information collection system; The information processing submodule pre-processes the equipment and environment data information to obtain the equipment environment information set.

9. An intelligent inspection system as claimed in claim 6, characterized in that: Intelligent inspection report generation module, including: The intelligent inspection sub-model construction sub-module builds the intelligent inspection sub-model according to the inspection standard and the equipment environment information set; An intelligent inspection model construction submodule is used to construct an intelligent inspection model based on the intelligent inspection submodel; The intelligent inspection report acquisition submodule transmits the equipment environment information set collected in the inspection area to the intelligent inspection model to obtain the intelligent inspection report.

10. An intelligent inspection system as claimed in claim 9, characterized in that: The intelligent inspection sub-model builds sub-modules, including: The environment intelligent inspection sub-model construction sub-module constructs the environment intelligent inspection sub-model according to the inspection standard and the equipment environment information set; The equipment intelligent inspection sub-model constructs a sub-module, and constructs the equipment intelligent inspection sub-model according to the inspection standard and the equipment environment information set.

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