Intelligent management method and system for electric tools and instruments
By building a power tool management module, calculating risk coefficients and executing management strategies, the problems of low detection automation and lack of objective evaluation in power tool management are solved, and the safety management of power tool equipment is achieved.
Patent Information
- Application Number
- CN202510471361.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-15
- Publication Date
- 2025-08-08
AI Technical Summary
The degree of detection automation in existing power tools management is low, manual detection is affected by subjective factors, resulting in distortion of the detection results, which is difficult to meet safety needs, and there is a lack of objective evaluation of storage environment management.
Build tool storage management module, use management module and load management module. By calculating storage risk coefficient, use risk coefficient and load risk coefficient, combined with preset thresholds and management strategies, objective evaluation and environmental management of power tools are achieved.
The objective evaluation of power tools is achieved, subjective factors are avoided, storage environment problems are discovered in a timely manner, and evaluation accuracy and safety are improved.
Smart Images
Figure CN120450416A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of power tool management, and in particular to an intelligent management method and system for power tools. Background Art
[0002] With the improvement of the management level of the power industry, the types and number of live working and safety tools have increased, especially the rise of strong smart grids, which has put forward higher requirements for the on-site management of live working and safety tools, one of the basic elements of power, and the safety of tool use.
[0003] The inspection of electrical tools mainly includes appearance inspection and power frequency withstand voltage inspection. Currently, it is mainly completed manually with a low degree of automation, which cannot meet the growing demand for inspection. In some occasions with large inspection volume and relative shortage of inspection personnel, general inspection may be changed to random inspection, leading to safety hazards. At the same time, manual inspection is affected by subjective factors such as personnel quality, and there are irregularities in operation. It is also difficult to unify the inspection standards, resulting in distorted inspection results, which is not conducive to the full-process management and control of power safety tools. Summary of the Invention
[0004] In response to the deficiencies in the prior art, the present invention provides an intelligent management method and system for electrical tools, which has the advantages of objectively evaluating and managing electrical tools and managing the storage environment, thereby solving the above-mentioned technical problems.
[0005] To achieve the above objectives, the present invention provides the following technical solutions: an intelligent management system for electric tools, comprising:
[0006] The tool storage management module is used to monitor the storage environment of the tools stored in the warehouse and calculate and output the necessary coefficient SYXS for the use of the i-th type of tool i Then, based on the storage environment of the tools stored in the warehouse and the necessary coefficient SYXS of the i-th type of tools i Construct the storage risk coefficient CCFX of the i-th type of tool i , and preset the storage risk threshold CCYZ, if the storage risk coefficient CCFX of the i-th type of tool i >Store the risk threshold CCYZ, issue the first warning instruction, and execute the first management strategy;
[0007] The tool usage management module builds the usage risk coefficient SYFX of the i-th type of tool based on the outbound test set and inbound test set obtained when the i-th type of tool is in and out of the warehouse i , and preset the use risk threshold SYYZ, if the use risk coefficient SYFX of the i-th type tool i >Using the risk threshold SYYZ, a second warning instruction is issued and a second management strategy is implemented;
[0008] The tool load management module is used to collect the load data of the i-th type of tool during use and to construct the load risk factor FHFX of the i-th type of tool i , and preset the load risk threshold FHYZ, if the load risk coefficient FHFX of the i-th type tool i > load risk threshold FHYZ, a third warning instruction is issued and the third management strategy is implemented;
[0009] The comprehensive assessment module for tools and equipment will construct the comprehensive risk coefficient ZHFX of the i-th type of tools and equipment after the first warning instruction, the second warning instruction and the third warning instruction are not executed. i , and preset the comprehensive risk threshold ZHYZ, if the comprehensive risk coefficient of the i-th type of tool is ZHFX i > Comprehensive risk threshold ZHYZ, the fourth early warning instruction is issued and the fourth management strategy is implemented.
[0010] As a preferred technical solution of the present invention, the tool storage management module is used to calculate and output the necessary coefficient SYXS of the i-th type of tool. i The specific steps are as follows:
[0011] Step Aa.1: Obtain the usage frequency SYPL of the i-th type of tool within a sampling period by scanning the label to record the number of times it leaves the warehouse i , and calculate the frequency factor SYPLYZ of the i-th type of tool i , the specific expression is as follows:
[0012]
[0013] in, It represents the sum of the usage frequencies of all Class I tools;
[0014] Step Aa.2: Construct the procurement quantity factor CGPLYZ for the i-th type of tools i , the specific expression is as follows:
[0015]
[0016] in, Indicates the sum of the purchase quantities of all Class I tools;
[0017] Step Aa.3: Based on the calculation in step Aa.1, the frequency factor SYPLYZ of the i-th type of tool is obtained. i and the procurement quantity factor CGPLYZ of the i-th type of tools in step Aa.2 i Comprehensive calculation to obtain the necessary coefficient SYXS for the use of the i-th type of tools i , the specific expression is as follows:
[0018]
[0019] Among them, SYXS i It represents the necessary coefficient for the use of the i-th type of tools;
[0020] The tool storage management module is based on the storage environment of the tools stored in the warehouse and the necessary coefficient SYXS of the i-th type of tools. i Construct the storage risk coefficient CCFX of the i-th type of tool i The specific steps are as follows:
[0021] Step Ab.1: Obtain the abiotic impact coefficient CCFSW of the storage environment of the i-th type of tool i , specifically including the following steps:
[0022] Step Ab.1.1: Obtain the number of damaged tools in the history of the i-th category and calculate the environmental sensitivity coefficient HJMGXS of the i-th category i , the specific expression is as follows:
[0023]
[0024] Among them, SHZS i represents the number of damaged tools of type i in history. It means summing up the number of damaged tools in the storage of Class I tools;
[0025] Step Ab.1.2: Obtain the storage environment parameters of the i-th type of tools, including storage humidity, storage temperature and ultraviolet radiation duration, and calculate the environmental impact coefficient CCHJXS of the i-th type of tools i , the specific expression is as follows:
[0026]
[0027] Among them, RH i T represents the storage environment humidity of the i-th type of tools, i Indicates the storage environment temperature of the i-th type of tools, ZSSC i Indicates the duration of ultraviolet radiation exposure during storage of the i-th type of tools, ZSSC i,min Indicates the minimum exposure time during storage of the i-th type of tools, RH i,0 It represents the standard storage humidity of the i-th type of tools, T i,0 Indicates the standard storage temperature of the i-th category tools, CCHJXS i It represents the environmental impact coefficient of the i-th type of tools;
[0028] Step Ab.1.3: Comprehensively calculate the abiotic impact coefficient CCFSW of the storage environment of the i-th type of tools i , the specific expression is as follows:
[0029] CCFSW i =CCHJXS i *(1+HJMGXS i )
[0030] Among them, HJMGXS i Indicates the environmental sensitivity coefficient of the i-th type of tool, CCHJXS i It represents the environmental impact coefficient of the i-th type of tools;
[0031] Step Ab.2: Obtain the biological impact coefficient CCSW of the storage environment of the i-th type of tools i , specifically including the following steps:
[0032] Step Ab.2.1: Obtain the number of rodents NCL appearing in the storage area of the i-th type of tools i , through camera recognition in the storage area and staff discovery and reporting;
[0033] Step Ab.2.2: Obtain the percentage of times the i-th type of tool was bitten KYZB i , discovered and reported through staff inspection;
[0034] Step Ab.2.3: Construct the biological impact coefficient CCSW for the storage environment of the i-th type of tools i , the specific expression is as follows:
[0035]
[0036] in, Indicates the number of rodents appearing in the storage area of type i tools NCL i The square root of
[0037] Step Ab.3: Based on the abiotic impact coefficient CCFSW of the storage environment of the i-th type of tool obtained in step Ab.1 i , the biological impact coefficient CCSW of the storage environment of the i-th type of tool obtained in step Ab.2 i And the necessary coefficient SYXS for the use of the i-th type of tools i Comprehensive calculation to obtain the storage risk coefficient CCFX of the i-th type of tools i , the specific expression is as follows:
[0038] CCFX i =(ω1*CCFSW i +ω2*CCSWi )*(SYXS i +1)
[0039] Among them, ω1 and ω2 represent two weight coefficients whose sum is 1.
[0040] As a preferred technical solution of the present invention, the first management strategy specifically includes:
[0041] Increase the number of desiccant placement points by 2% to 5%, deploy dehumidifiers in the warehouse and install them in CCFX i When the storage risk threshold is less than CCYZ*α, the non-ventilated pipeline entrances in the storage building should be blocked with steel wool, and a 1:50 dilution ratio of permethrin suspension should be sprayed in the corners of the warehouse to form a protective belt;
[0042] Here, α represents the control factor preset by the management.
[0043] As a preferred technical solution of the present invention, the tool use management module constructs the use risk coefficient SYFX of the i-th type of tool based on the outbound test set and the inbound test set obtained when the i-th type of tool is in and out of the warehouse. i The specific steps are as follows:
[0044] Step B1: The staff obtains the outer surface image data of the i-th type tool when it leaves the warehouse and the outer surface image of the non-insulated part of the i-th type tool when it enters the warehouse, and compares the pixel ratio of the different area of the two outer surface images to obtain the appearance difference coefficient WGCY i ;
[0045] Step B2: The number of parts replaced during the use of the i-th type of tool is reported by the staff i After that, the staff will inspect the insulation of the i-th type of tools and obtain the proportion of insulation damage area of the i-th type of tools. i , construct the loss coefficient SHXS of the accessories in the i-th type of tool i , the specific expression is as follows:
[0046]
[0047] Among them, e represents a natural constant;
[0048] Step B3: Construct the risk factor SYFX for the use of the i-th type of tool i , the specific expression is as follows:
[0049] SYFX i =WGCY i *SHXS i
[0050] Among them, WGCYi represents the appearance difference coefficient.
[0051] As a preferred technical solution of the present invention, the second management strategy specifically includes:
[0052] Count the number of replacement parts for the i-th type of tool and output the top three types of replacement parts to the staff when the i-th type of tool is shipped out. At the same time, read the number of corresponding parts in the inventory. When the number of corresponding parts in the inventory is lower than the parts storage threshold δ, issue a purchase instruction to the staff;
[0053] Record the maximum insulation damage depth of the i-th type of tools when they are put into storage for the mth time like >Insulation damage depth threshold JYPS or >When the insulation damage depth threshold JYPS is reached, an instruction to replace the insulation layer of the i-th type tool is issued. Indicates the insulation damage depth at the maximum value in the m-1th storage of the i-th type of tool corresponding to the m-1th storage.
[0054] As a preferred technical solution of the present invention, the tool load management module collects the load data of the i-th type of tool during use and constructs the load risk coefficient FHFX of the i-th type of tool. i The specific steps are as follows:
[0055] Step C1: Obtain the continuous working time LXGZ of the jth tool in the i-th type of tool i,j , the specific expression is as follows:
[0056] LXJT i,j =t i,dq -t i,j,ck
[0057] Among them, t i,dq Indicates the current time, t i,j,ck Indicates the time when the jth tool in the i-th category of tools is shipped out of the warehouse;
[0058] Step C2: Obtain the metal tag wear degree BQMS of the jth tool in the i-th category tool i,j , the specific expression is as follows:
[0059]
[0060] Among them, MSQY i,j represents the wear area of the metal tag of the jth tool, ZMJ i,j represents the total area of the metal label of the jth tool;
[0061] Step C3: Construct the load risk factor FHFX of the i-th type of tooli , the specific expression is as follows:
[0062]
[0063] Among them, SYPLYZ i Frequency factor of use of type i tools, LXGZ i Indicates the continuous working time of the i-th type of tool, BQMS i represents the label wear of the i-th type of tools, J represents the total number of the i-th type of tools, It represents the sum of the continuous working time of J i-th type tools. It represents the sum of the metal tag wear areas of J tools of the i-th category.
[0064] As a preferred technical solution of the present invention, the third management strategy specifically includes:
[0065] If the wear area of the metal tag of the jth tool is BQMS i,j If the wear area of the metal tag is greater than the threshold value MSMJ of the metal tag wear area, the staff will replace the metal tag when entering the warehouse and set the maximum continuous working time of the i-th type of tools. When the continuous working time of the i-th type of tools reaches the maximum continuous working time of the i-th type of tools, the operator will be reminded to suspend the operation and increase the number of the i-th type of tools in the warehouse by 1% to 3%.
[0066] As the preferred technical solution of the present invention, the tool comprehensive evaluation module comprehensively constructs the comprehensive risk coefficient ZHFX of the i-th type of tool i The specific expression is as follows:
[0067]
[0068] Among them, ZHFX i represents the comprehensive risk coefficient of the i-th type of tool, CCYZ represents the storage risk threshold, CCFX i represents the storage risk coefficient of the i-th type of tool, SYYZ represents the usage risk threshold, SYFX i represents the risk factor of the use of the i-th type of tools, FHYZ represents the load risk threshold, FHFX i Represents the load risk factor of the i-th type of tool.
[0069] As a preferred technical solution of the present invention, the fourth management strategy specifically includes:
[0070] Increase the number of inspections by management personnel to and shorten cleaning intervals in storage areas by 1.5% to 3%;
[0071] Among them, ZHFXi represents the comprehensive risk coefficient of the i-th type of tool, ZHYZ represents the comprehensive risk threshold, express Round up.
[0072] The present invention also provides an intelligent management method for electric tools, based on the above-mentioned intelligent management system for electric tools, comprising the following steps:
[0073] Step 1: Monitor the storage environment of the tools stored in the warehouse and calculate the necessary coefficient SYXS for the use of the i-th type of tools i ;
[0074] Step 2: Based on the storage environment of the tools stored in the warehouse and the necessary coefficient SYXS of the i-th type of tools i Construct the storage risk coefficient CCFX of the i-th type of tool i , and preset the storage risk threshold CCYZ, if the storage risk coefficient CCFX of the i-th type of tool i >Store the risk threshold CCYZ, issue the first warning instruction, and execute the first management strategy;
[0075] Step 3: Construct the usage risk coefficient SYFX of the i-th type of tool based on the outbound test set and inbound test set obtained when the i-th type of tool is in and out of the warehouse i , and preset the use risk threshold SYYZ, if the use risk coefficient SYFX of the i-th type tool i >Using the risk threshold SYYZ, a second warning instruction is issued and a second management strategy is implemented;
[0076] Step 4: Collect the load data of the i-th type of tools during use and construct the load risk factor FHFX of the i-th type of tools i , and preset the load risk threshold FHYZ, if the load risk coefficient FHFX of the i-th type tool i > load risk threshold FHYZ, a third warning instruction is issued and the third management strategy is implemented;
[0077] Step 5: After the first, second and third warning instructions are not executed, the comprehensive risk coefficient ZHFX of the i-th type of tool is constructed i , and preset the comprehensive risk threshold ZHYZ, if the comprehensive risk coefficient of the i-th type of tool is ZHFX i > Comprehensive risk threshold ZHYZ, then issue the fourth early warning instruction and implement the fourth management strategy;
[0078] Step 6: During the execution of steps 2 to 5, all calculation results and corresponding strategy execution status are archived and stored for the i-th type of tools.
[0079] Compared with the prior art, the present invention provides a method and system for intelligent management of electric tools, which has the following beneficial effects:
[0080] The present invention constructs the storage risk coefficient CCFX of the i-th type of tool i , construct the use risk coefficient SYFX of the i-th type of tools i , construct the load risk factor FHFX of the i-th type of tool i , completed the real-time data dynamic calculation of risk situation, improved the assessment accuracy, and implemented different measures for different risks, thereby achieving objective evaluation and management of electrical tools, and managing the storage environment, avoiding the influence of subjective factors on the storage of electrical tools, and being able to timely discover problems in the storage environment. At the same time, when no early warning is issued, a comprehensive evaluation of the overall risk is conducted, thereby secondary measuring the storage management risk and ensuring the storage safety of electrical tools. BRIEF DESCRIPTION OF THE DRAWINGS
[0081] Figure 1 Schematic diagram of the system framework of the present invention;
[0082] Figure 2 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION
[0083] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only 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 ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.
[0084] See also Figure 1-2 , an intelligent management system for electric tools, wherein the electric tools of the present invention are specifically cable crimping pliers (i.e., the i-th category described below), including:
[0085] The tool storage management module is used to monitor the storage environment of the tools stored in the warehouse and calculate and output the necessary coefficient SYXS for the use of the i-th type of tool i Then, based on the storage environment of the tools stored in the warehouse and the necessary coefficient SYXS of the i-th type of tools i Construct the storage risk coefficient CCFX of the i-th type of tool i , and preset the storage risk threshold CCYZ, if the storage risk coefficient CCFX of the i-th type of tool i >Store the risk threshold CCYZ, issue the first warning instruction, and execute the first management strategy;
[0086] The tool storage management module is used to calculate and output the necessary coefficient SYXS for the use of the i-th type of tool i The specific steps are as follows:
[0087] Step Aa.1: Obtain the usage frequency SYPL of the i-th type of tool within a sampling period by scanning the label to record the number of times it leaves the warehouse i , and calculate the frequency factor SYPLYZ of the i-th type of tool i , the specific expression is as follows:
[0088]
[0089] in, It represents the sum of the usage frequencies of all Class I tools;
[0090] Step Aa.2: Construct the procurement quantity factor CGPLYZ for the i-th type of tools i , the specific expression is as follows:
[0091]
[0092] in, Indicates the sum of the purchase quantities of all Class I tools;
[0093] Step Aa.3: Based on the calculation in step Aa.1, the frequency factor SYPLYZ of the i-th type of tool is obtained. i and the procurement quantity factor CGPLYZ of the i-th type of tools in step Aa.2 i Comprehensive calculation to obtain the necessary coefficient SYXS for the use of the i-th type of tools i , the specific expression is as follows:
[0094]
[0095] Among them, SYXS i It represents the necessary coefficient for the use of the i-th type of tools;
[0096] The tool storage management module is based on the storage environment of the tools stored in the warehouse and the necessary coefficient SYXS of the i-th type of tools. i Construct the storage risk coefficient CCFX of the i-th type of tool i The specific steps are as follows:
[0097] Step Ab.1: Obtain the abiotic impact coefficient CCFSW of the storage environment of the i-th type of tool i , specifically including the following steps:
[0098] Step Ab.1.1: Obtain the number of damaged tools in the history of the i-th category and calculate the environmental sensitivity coefficient HJMGXS of the i-th category i , the specific expression is as follows:
[0099]
[0100] Among them, SHZS i represents the number of damaged tools of type i in history. It means summing up the number of damaged tools in the storage of Class I tools;
[0101] Step Ab.1.2: Obtain the storage environment parameters of the i-th type of tools, including storage humidity, storage temperature and ultraviolet radiation duration, and calculate the environmental impact coefficient CCHJXS of the i-th type of tools i , the specific expression is as follows:
[0102]
[0103] Among them, RH i T represents the storage environment humidity of the i-th type of tools, i Indicates the storage environment temperature of the i-th type of tools, ZSSC i Indicates the duration of ultraviolet radiation exposure during storage of the i-th type of tools, ZSSC i,min Indicates the minimum exposure time during storage of the i-th type of tools, RH i,0 It represents the standard storage humidity of the i-th type of tools, T i,0 Indicates the standard storage temperature of the i-th category tools, CCHJXS i Represents the environmental impact coefficient of the i-th category of tools. Ultraviolet rays can cause the rubber molecular chain to break, thus causing aging. This process is usually manifested as a decrease in the mechanical properties of the rubber, including increased hardness and decreased elasticity. As use progresses, the insulation layer may be damaged during use. Therefore, when analyzing the environmental impact coefficient here, the rate of change of humidity and temperature is taken as a separate item, and the minimum exposure time is set as a separate item, so as to better reflect the impact of irradiation on the insulation layer. At the same time;
[0104] Step Ab.1.3: Comprehensively calculate the abiotic impact coefficient CCFSW of the storage environment of the i-th type of tools i , the specific expression is as follows:
[0105] CCFSW i =CCHJXS i *(1+HJMGXS i )
[0106] Among them, HJMGXS iIt represents the environmental sensitivity coefficient of the i-th type of tools, which reflects the sensitivity of different types of tools to the environment. The more the tools are damaged during storage, the larger the value is, and the more they are affected by environmental factors. i It represents the environmental impact coefficient of the i-th type of tools;
[0107] Step Ab.2: Obtain the biological impact coefficient CCSW of the storage environment of the i-th type of tools i , specifically including the following steps:
[0108] Step Ab.2.1: Obtain the number of rodents NCL appearing in the storage area of the i-th type of tools i Through camera recognition in the storage area and staff discovery and reporting, it is found that sweat residue may be left on the surface of the insulation layer when the staff is working. Rodents usually find it difficult to obtain salt in the wild. In addition, there are blind spots in the storage warehouse and rodents need to grind their teeth. Therefore, the impact of rodents on cables and insulation layers needs to be considered during storage. Ordinary tools only require anti-slip insulation, so there is no need to consider it as long as it does not affect use.
[0109] Step Ab.2.2: Obtain the percentage of times the i-th type of tool was bitten KYZB i , discovered and reported through staff inspection;
[0110] Step Ab.2.3: Construct the biological impact coefficient CCSW for the storage environment of the i-th type of tools i , the specific expression is as follows:
[0111]
[0112] in, Indicates the number of rodents appearing in the storage area of type i tools NCL i The square root of KYZB i It represents the percentage of times the i-th type of tool was bitten, and its root formula can be used to reduce the error;
[0113] Step Ab.3: Based on the abiotic impact coefficient CCFSW of the storage environment of the i-th type of tool obtained in step Ab.1 i , the biological impact coefficient CCSW of the storage environment of the i-th type of tool obtained in step Ab.2 i And the necessary coefficient SYXS for the use of the i-th type of tools i Comprehensive calculation to obtain the storage risk coefficient CCFX of the i-th type of tools i , the specific expression is as follows:
[0114] CCFXi =(ω1*CCFSW i +ω2*CCSW i )*(SYXS i +1)
[0115] Among them, ω1 and ω2 represent two weight coefficients whose sum is 1. The comprehensive risk situation can be obtained by weighted calculation of the abiotic impact coefficient in the current storage environment and the biotic impact coefficient in the storage environment. In addition, the storage risk coefficient of the i-th type of tool is additionally considered to amplify the comprehensive risk situation. The necessity of the tool should be more involved in the decision-making of risk assessment.
[0116] The first management strategy specifically includes:
[0117] Increase the number of desiccant placement points by 2% to 5%, deploy dehumidifiers in the warehouse and install them in CCFX i When the storage risk threshold is less than CCYZ*α, remove the cables. Use steel wool to block the entrances of non-ventilated pipelines in the storage building. Regularly remove garbage outside the building. Spray a 1:50 dilution of permethrin suspension in the corners of the warehouse to form a protective belt to prevent insect damage to cables. α represents the control factor preset by the management staff and is usually set to 0.9.
[0118] The tool usage management module builds the usage risk coefficient SYFX of the i-th type of tool based on the outbound test set and inbound test set obtained when the i-th type of tool is in and out of the warehouse i , and preset the use risk threshold SYYZ, if the use risk coefficient SYFX of the i-th type tool i >Using the risk threshold SYYZ, a second warning instruction is issued and a second management strategy is implemented;
[0119] The tool usage management module constructs the usage risk coefficient SYFX of the i-th type of tool based on the outbound test set and inbound test set obtained when the i-th type of tool is in and out of the warehouse. i The specific steps are as follows:
[0120] Step B1: The staff obtains the outer surface image data of the i-th type tool when it leaves the warehouse and the outer surface image of the non-insulated part of the i-th type tool when it enters the warehouse, and compares the pixel ratio of the different area of the two outer surface images to obtain the appearance difference coefficient WGCY i ;
[0121] Step B2: The number of parts replaced during the use of the i-th type of tool is reported by the staff i After that, the staff will inspect the insulation of the i-th type of tools and obtain the proportion of insulation damage area of the i-th type of tools. i, construct the loss coefficient SHXS of the accessories in the i-th type of tool i , the specific expression is as follows:
[0122]
[0123] Among them, e represents a natural constant. When the number of parts replaced increases, The larger the value, the more susceptible a tool is to damage when multiple parts are replaced during use, and the easier it is to replace the area with a life limit.
[0124] Step B3: Construct the risk factor SYFX for the use of the i-th type of tool i , the specific expression is as follows:
[0125] SYFX i =WGCY i *SHXS i
[0126] Among them, WGCY i It represents the appearance difference coefficient. The appearance difference coefficient and the loss coefficient of the accessories in the i-th type of tool can comprehensively reflect the loss coefficient of the corresponding tool during specific use.
[0127] The second management strategy specifically includes:
[0128] Count the number of replacement parts for the i-th type of tool and output the top three types of replacement parts to the staff when the i-th type of tool is shipped out. At the same time, read the number of corresponding parts in the inventory. When the number of corresponding parts in the inventory is lower than the parts storage threshold δ, issue a purchase instruction to the staff;
[0129] Record the maximum insulation damage depth of the i-th type of tools when they are put into storage for the mth time like >Insulation damage depth threshold JYPS or >When the insulation damage depth threshold JYPS is reached, an instruction to replace the insulation layer of the i-th type tool is issued. Indicates the insulation damage depth of the i-th type of tool at the maximum value in the m-th storage when the tool is stored for the m-1th time, and records the maximum insulation damage depth of the i-th type of tool when it is stored for the mth time Specifically refers to the deepest point among all the damaged points.
[0130] The tool load management module is used to collect the load data of the i-th type of tool during use and to construct the load risk factor FHFX of the i-th type of tool i , and preset the load risk threshold FHYZ, if the load risk coefficient FHFX of the i-th type tool i> load risk threshold FHYZ, a third warning instruction is issued and the third management strategy is implemented;
[0131] The tool load management module collects the load data of the i-th type of tool during use and constructs the load risk coefficient FHFX of the i-th type of tool i The specific steps are as follows:
[0132] Step C1: Obtain the continuous working time LXGZ of the jth tool in the i-th type of tool i,j , the specific expression is as follows:
[0133] LXJT i,j =t i,dq -t i,j,ck
[0134] Among them, t i,dq Indicates the current time, t i,j,ck It represents the outbound time of the jth tool in the i-th category of tools. Since the specific continuous working time cannot be considered, its specific outbound situation is measured only by the loan time. The longer the loan time, the better.
[0135] Step C2: Obtain the metal tag wear degree BQMS of the jth tool in the i-th category tool i,j , the specific expression is as follows:
[0136]
[0137] Among them, MSQY i,j represents the wear area of the metal tag of the jth tool, ZMJ i,j represents the total area of the metal label of the jth tool;
[0138] Step C3: Construct the load risk factor FHFX of the i-th type of tool i , the specific expression is as follows:
[0139]
[0140] Among them, SYPLYZ i Frequency factor of use of type i tools, LXGZ i Indicates the continuous working time of the i-th type of tool, BQMS i represents the label wear of the i-th type of tools, J represents the total number of the i-th type of tools, It represents the sum of the continuous working time of J i-th type tools. It represents the sum of the metal tag wear areas of J tools of the i-th category. This can be directly obtained by analyzing the tag wear of all tools in this category. By combining the wear of the metal tags with the frequency of use, it can well reflect the environmental dust wear and falling and dragging conditions during the use of the tools.
[0141] The third management strategy specifically includes:
[0142] If the wear area of the metal tag of the jth tool is BQMS i,j If the wear area of the metal tag is greater than the threshold value MSMJ, the staff will replace the metal tag when entering the warehouse and set the maximum continuous working time of the i-th type of tool. When the continuous working time of the i-th type of tool reaches the maximum continuous working time of the i-th type of tool, the operator will be reminded to suspend the work. If the operator forgets to return it, the operator can be reminded to return it to the warehouse in time, increasing the number of the i-th type of tool in the warehouse by 1% to 3%;
[0143] The comprehensive assessment module for tools and equipment will construct the comprehensive risk coefficient ZHFX of the i-th type of tools and equipment after the first warning instruction, the second warning instruction and the third warning instruction are not executed. i , and preset the comprehensive risk threshold ZHYZ, if the comprehensive risk coefficient of the i-th type of tool is ZHFX i > Comprehensive risk threshold ZHYZ, the fourth early warning instruction is issued and the fourth management strategy is implemented.
[0144] Comprehensive assessment module for tools and equipment comprehensively constructs the comprehensive risk coefficient ZHFX of the i-th type of tools and equipment i The specific expression is as follows:
[0145]
[0146] Among them, ZHFX i represents the comprehensive risk coefficient of the i-th type of tool, CCYZ represents the storage risk threshold, CCFX i represents the storage risk coefficient of the i-th type of tool, SYYZ represents the usage risk threshold, SYFX i represents the risk factor of the use of the i-th type of tools, FHYZ represents the load risk threshold, FHFX i Represents the load risk factor of the i-th type of tool.
[0147] The fourth management strategy specifically includes:
[0148] Increase the number of inspections by management personnel to and shorten cleaning intervals in storage areas by 1.5% to 3%;
[0149] Among them, ZHFX irepresents the comprehensive risk coefficient of the i-th type of tool, ZHYZ represents the comprehensive risk threshold, express Round up;
[0150] Example:
[0151] In this embodiment, I=4, that is, the library stores four types of electrical tools, namely, an insulating rod, a megohmmeter, a wire stripper, and a cable crimper (the i-th type recorded in the present invention). The data in the tool storage management module is shown in Table 1 below:
[0152] Table 1
[0153]
[0154] Calculated SYPLYZ i =0.3, CGPLYZ i =0.15, HJMGXS i =0;
[0155] Obtain the storage environment parameters of the i-th type of tools, including storage humidity, storage temperature, and ultraviolet radiation duration, as shown in Table 2 below:
[0156] Table 2
[0157]
[0158]
[0159] At this time, the calculation CCFSW i =0.296;
[0160] Obtain the biological impact coefficient CCSW in the storage environment of the i-th type of tools i See Table 3:
[0161] Table 3
[0162] parameter Specific values <![CDATA[NCL i ]]> 6 <![CDATA[KYZB i ]]> 45％ <![CDATA[ω1]]> 0.65 <![CDATA[ω2]]> 0.35 CCYZ 1.36 α 0.9
[0163] at this time CCFX i =(ω1*CCFSW i +ω2*CCSW i )*(SYXS i +1)=1.393>1.36, then the first management strategy is implemented, 2% more desiccant placement points are added, and CCFX is recalculated in the next sampling period i, when it is less than 1.224, remove it, and block the entrance of non-ventilated pipelines in the storage plant with steel wool, and spray permethrin suspension with a dilution ratio of 1:50 in the corners of the warehouse to form a protective belt;
[0164] In this embodiment, the appearance difference coefficient WGCY of the i-th type of tools is obtained. i =0.4, SYYZ=6.6, the number of parts replaced during the process of the i-th type of tool PJGH i =3, the insulation of the i-th type of tool is inspected to obtain the proportion of the insulation damage area of the i-th type of tool JYGH i =3%, JYPS=3mm, SYFX i =WGCY i *SHXS i =8.276>6.6;
[0165] The number of parts replaced during the process of the i-th type of tool is 3, and the top three types of replacement parts are output to the staff when leaving the warehouse. At the same time, the number of corresponding parts in the inventory is read. When the number of corresponding parts in the warehouse is lower than the parts storage threshold δ, a purchase instruction is issued to the staff to purchase the parts. at this time If the thickness is greater than 3mm, an instruction to replace the insulation layer is issued, and the insulation layer of the tool needs to be replaced;
[0166] The tool load management module is used to collect the load data of the i-th type of tool during use and to construct the load risk factor FHFX of the i-th type of tool i The specific data are shown in Table 4 below:
[0167] Table 4
[0168]
[0169] If FHYZ is less than 0.84, the third warning instruction is not issued, thereby realizing intelligent management of power tools;
[0170] In this embodiment, the comprehensive tool assessment module is not executed. Therefore, this embodiment dynamically calculates risk based on real-time data (storage environment, test data, load data), improving assessment accuracy, avoiding the influence of subjective factors on the storage of power tools, and being able to promptly identify problems in the storage environment.
[0171] The above embodiments only provide one or more feasible solutions, which do not represent the optimal solution. The setting of the threshold value is for the convenience of comparison. The size of the threshold value depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value, and the size of the weight can be determined by technicians in this field based on each sample data and multiple rounds of experimental processes, all formulas described in the present invention are calculated by removing the dimensions and taking their numerical values.
[0172] The present invention also provides an intelligent management method for electric tools, based on the above-mentioned intelligent management system for electric tools, comprising the following steps:
[0173] Step 1: Monitor the storage environment of the tools stored in the warehouse and calculate the necessary coefficient SYXS for the use of the i-th type of tools i ;
[0174] Step 2: Based on the storage environment of the tools stored in the warehouse and the necessary coefficient SYXS of the i-th type of tools i Construct the storage risk coefficient CCFX of the i-th type of tool i , and preset the storage risk threshold CCYZ, if the storage risk coefficient CCFX of the i-th type of tool i >Store the risk threshold CCYZ, issue the first warning instruction, and execute the first management strategy;
[0175] Step 3: Construct the usage risk coefficient SYFX of the i-th type of tool based on the outbound test set and inbound test set obtained when the i-th type of tool is in and out of the warehouse i , and preset the use risk threshold SYYZ, if the use risk coefficient SYFX of the i-th type tool i >Using the risk threshold SYYZ, a second warning instruction is issued and a second management strategy is implemented;
[0176] Step 4: Collect the load data of the i-th type of tools during use and construct the load risk factor FHFX of the i-th type of tools i , and preset the load risk threshold FHYZ, if the load risk coefficient FHFX of the i-th type tool i > load risk threshold FHYZ, a third warning instruction is issued and the third management strategy is implemented;
[0177] Step 5: After the first, second and third warning instructions are not executed, the comprehensive risk coefficient ZHFX of the i-th type of tool is constructed i , and preset the comprehensive risk threshold ZHYZ, if the comprehensive risk coefficient of the i-th type of tool is ZHFX i> Comprehensive risk threshold ZHYZ, then issue the fourth early warning instruction and implement the fourth management strategy;
[0178] Step 6: During the execution of steps 2 to 5, all calculation results and corresponding strategy execution status are archived and stored for the i-th type of tools.
[0179] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.
Claims
1. An intelligent management system for electric tools, characterized by: include: The tool storage management module is used to monitor the storage environment of the tools stored in the warehouse and calculate and output the necessary coefficient SYXS for the use of the i-th type of tool i Then, based on the storage environment of the tools stored in the warehouse and the necessary coefficient SYXS of the i-th type of tools i Construct the storage risk factor CCFX of the i-th type of tool i , and preset the storage risk threshold CCYZ, if the storage risk coefficient CCFX of the i-th type of tool i >Store the risk threshold CCYZ, issue the first warning instruction, and execute the first management strategy; The tool usage management module builds the usage risk coefficient SYFX of the i-th type of tool based on the outbound test set and inbound test set obtained when the i-th type of tool is in and out of the warehouse i , and preset the use risk threshold SYYZ, if the use risk coefficient SYFX of the i-th type tool i >Using the risk threshold SYYZ, a second warning instruction is issued and a second management strategy is implemented; The tool load management module is used to collect the load data of the i-th type of tool during use and to construct the load risk factor FHFX of the i-th type of tool i , and preset the load risk threshold FHYZ, if the load risk coefficient FHFX of the i-th type tool i > load risk threshold FHYZ, a third warning instruction is issued and the third management strategy is implemented; The comprehensive assessment module for tools and equipment will construct the comprehensive risk coefficient ZHFX of the i-th type of tools and equipment after the first warning instruction, the second warning instruction and the third warning instruction are not executed. i , and preset the comprehensive risk threshold ZHYZ, if the comprehensive risk coefficient of the i-th type of tool is ZHFX i > Comprehensive risk threshold ZHYZ, the fourth early warning instruction is issued and the fourth management strategy is implemented.
2. The intelligent management system for electric tools according to claim 1, characterized in that: The tool storage management module is used to calculate and output the necessary coefficient SYXS of the i-th type of tool. i The specific steps are as follows: Step Aa.1: Obtain the usage frequency SYPL of the i-th type of tool within a sampling period by scanning the label to record the number of times it leaves the warehouse i , and calculate the frequency factor SYPLYZ of the i-th type of tool i , the specific expression is as follows: in, It represents the sum of the usage frequencies of all Class I tools; Step Aa.2: Construct the procurement quantity factor CGPLYZ for the i-th type of tools i , the specific expression is as follows: in, Indicates the sum of the purchase quantities of all Class I tools; Step Aa.3: Based on the calculation in step Aa.1, the frequency factor SYPLYZ of the i-th type of tool is obtained. i and the procurement quantity factor CGPLYZ of the i-th type of tools in step Aa.2 i Comprehensive calculation to obtain the necessary coefficient SYXS for the use of the i-th type of tools i , the specific expression is as follows: Among them, SYXS i It represents the necessary coefficient for the use of the i-th type of tools; The tool storage management module is based on the storage environment of the tools stored in the warehouse and the necessary coefficient SYXS of the i-th type of tools. i Construct the storage risk factor CCFX of the i-th type of tool i The specific steps are as follows: Step Ab.1: Obtain the abiotic impact coefficient CCFSW of the storage environment of the i-th type of tool i , specifically including the following steps: Step Ab.1.1: Obtain the number of damaged tools in the history of the i-th category and calculate the environmental sensitivity coefficient HJMGXS of the i-th category i , the specific expression is as follows: Among them, SHZS i represents the number of damaged tools of type i in history. It means summing up the number of damaged tools in the storage of Class I tools; Step Ab.1.2: Obtain the storage environment parameters of the i-th type of tools, including storage humidity, storage temperature and ultraviolet radiation duration, and calculate the environmental impact coefficient CCHJXS of the i-th type of tools i , the specific expression is as follows: Among them, RH i represents the storage environment humidity of the i-th type of tools, T i Indicates the storage environment temperature of the i-th type of tools, ZSSC i Indicates the duration of ultraviolet radiation exposure during storage of the i-th type of tools, ZSSC i,min Indicates the minimum exposure time during storage of the i-th type of tools, RH i,0 It represents the standard storage humidity of the i-th type of tools, T i,0 Indicates the standard storage temperature of the i-th category tools, CCHJXS i It represents the environmental impact coefficient of the i-th type of tools; Step Ab.1.3: Comprehensively calculate the abiotic impact coefficient CCFSW of the storage environment of the i-th type of tools i , the specific expression is as follows: CCFSW i =CCHJXS i *(1+HJMGXS i ) Among them, HJMGXS i Represents the environmental sensitivity coefficient of the i-th type of tool, CCHJXS i It represents the environmental impact coefficient of the i-th type of tools; Step Ab.2: Obtain the biological impact coefficient CCSW of the storage environment of the i-th type of tools i , specifically including the following steps: Step Ab.2.1: Obtain the number of rodents NCL appearing in the storage area of the i-th type of tools i , through camera recognition in the storage area and staff discovery and reporting; Step Ab.2.2: Obtain the percentage of times the i-th type of tool was bitten KYZB i , discovered and reported through staff inspection; Step Ab.2.3: Construct the biological impact coefficient CCSW for the storage environment of the i-th type of tools i , the specific expression is as follows: in, Indicates the number of rodents appearing in the storage area of type i tools NCL i The square root of Step Ab.3: Based on the abiotic impact coefficient CCFSW of the storage environment of the i-th type of tool obtained in step Ab.1 i , the biological impact coefficient CCSW of the storage environment of the i-th type of tool obtained in step Ab.2 i And the necessary coefficient SYXS for the use of the i-th type of tools i Comprehensive calculation to obtain the storage risk coefficient CCFX of the i-th type of tools i , the specific expression is as follows: CCFX i =(ω1*CCFSW i +ω2*CCSW i )*(SYXS i +1) Among them, ω1 and ω2 represent two weight coefficients whose sum is 1.
3. The intelligent management system for electric tools according to claim 2, characterized in that: The first management strategy specifically includes: Increase the number of desiccant placement points by 2% to 5%, deploy dehumidifiers in the warehouse and install them in CCFX i When the storage risk threshold is less than CCYZ*α, the non-ventilated pipeline entrances in the storage building should be blocked with steel wool, and a 1:50 dilution ratio of permethrin suspension should be sprayed in the corners of the warehouse to form a protective belt; Here, α represents the control factor preset by the management.
4. The intelligent management system for electric tools according to claim 1, characterized in that: The tool usage management module constructs the usage risk coefficient SYFX of the i-th type of tool based on the outbound test set and the inbound test set obtained when the i-th type of tool is in and out of the warehouse i The specific steps are as follows: Step B1: The staff obtains the outer surface image data of the i-th type tool when it leaves the warehouse and the outer surface image of the non-insulated part of the i-th type tool when it enters the warehouse, and compares the pixel ratio of the different area of the two outer surface images to obtain the appearance difference coefficient WGCY i ; Step B2: The number of parts replaced during the use of the i-th type of tool is reported by the staff i After that, the staff will inspect the insulation of the i-th type of tools and obtain the proportion of insulation damage area of the i-th type of tools. i , construct the loss coefficient SHXS of the accessories in the i-th type of tools i , the specific expression is as follows: Among them, e represents a natural constant; Step B3: Construct the risk factor SYFX for the use of the i-th type of tool i , the specific expression is as follows: SYFX i =WGCY i *SHXS i Among them, WGCY i represents the appearance difference coefficient.
5. The intelligent management system for electric tools according to claim 4, characterized in that: The second management strategy specifically includes: Count the number of replacement parts for the i-th type of tool and output the top three types of replacement parts to the staff when the i-th type of tool is shipped out. At the same time, read the number of corresponding parts in the inventory. When the number of corresponding parts in the inventory is lower than the parts storage threshold δ, issue a purchase instruction to the staff; Record the maximum insulation damage depth of the i-th type of tools when they are put into storage for the mth time like Insulation damage depth threshold JYPS or When the insulation damage depth threshold JYPS is reached, an instruction to replace the insulation layer of the i-th type tool is issued. Indicates the insulation damage depth at the maximum value in the m-1th storage of the i-th type of tool corresponding to the m-1th storage.
6. The intelligent management system for electric tools according to claim 2, characterized in that: The tool load management module collects the load data of the i-th type of tool during use and constructs the load risk coefficient FHFX of the i-th type of tool i The specific steps are as follows: Step C1: Obtain the continuous working time LXGZ of the jth tool in the i-th type of tool i,j , the specific expression is as follows: LXGZ i,j =t i,dq -t i,j,ck Among them, t i,dq Indicates the current time, t i,j,ck Indicates the time when the jth tool in the i-th category of tools is shipped out of the warehouse; Step C2: Obtain the metal tag wear degree BQMS of the jth tool in the i-th category tool i,j , the specific expression is as follows: Among them, MSQY i,j represents the wear area of the metal tag of the jth tool, ZMJ i,j represents the total area of the metal label of the jth tool; Step C3: Construct the load risk factor FHFX of the i-th type of tool i , the specific expression is as follows: Among them, SYPLYZ i Frequency factor of use of type i tools, LXGZ i Indicates the continuous working time of the i-th type of tool, BQMS i represents the label wear of the i-th type of tools, J represents the total number of the i-th type of tools, It represents the sum of the continuous working time of J i-th type tools. It represents the sum of the metal tag wear areas of J tools of the i-th category.
7. The intelligent management system for electric tools according to claim 6, characterized in that: The third management strategy specifically includes: If the wear area of the metal tag of the jth tool is BQMS i,j If the wear area of the metal tag is greater than the threshold value MSMJ of the metal tag wear area, the staff will replace the metal tag when entering the warehouse and set the maximum continuous working time of the i-th type of tools. When the continuous working time of the i-th type of tools reaches the maximum continuous working time of the i-th type of tools, the operator will be reminded to suspend the operation and increase the number of the i-th type of tools in the warehouse by 1% to 3%.
8. The intelligent management system for electric tools according to claim 1, characterized in that: The tool comprehensive assessment module comprehensively constructs the comprehensive risk coefficient ZHFX of the i-th type of tool i The specific expression is as follows: Among them, ZHFX i represents the comprehensive risk coefficient of the i-th type of tool, CCYZ represents the storage risk threshold, CCFX i represents the storage risk coefficient of the i-th type of tool, SYYZ represents the usage risk threshold, SYFX i represents the risk factor of the use of the i-th type of tools, FHYZ represents the load risk threshold, FHFX i Represents the load risk factor of the i-th type of tool.
9. The intelligent management system for electric tools according to claim 8, characterized in that: The fourth management strategy specifically includes: Increase the number of inspections by management personnel to and shorten cleaning intervals in storage areas by 1.5% to 3%; Among them, ZHFX i represents the comprehensive risk coefficient of the i-th type of tool, ZHYZ represents the comprehensive risk threshold, express Round up.
10. An intelligent management method for electric tools, based on the intelligent management system for electric tools according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Monitor the storage environment of the tools stored in the warehouse and calculate the necessary coefficient SYXS for the use of the i-th type of tools i ; Step 2: Based on the storage environment of the tools stored in the warehouse and the necessary coefficient SYXS of the i-th type of tools i Construct the storage risk factor CCFX of the i-th type of tool i , and preset the storage risk threshold CCYZ, if the storage risk coefficient CCFX of the i-th type of tool i >Store the risk threshold CCYZ, issue the first warning instruction, and execute the first management strategy; Step 3: Construct the usage risk coefficient SYFX of the i-th type of tool based on the outbound test set and inbound test set obtained when the i-th type of tool is in and out of the warehouse i , and preset the use risk threshold SYYZ, if the use risk coefficient SYFX of the i-th type tool i >Using the risk threshold SYYZ, a second warning instruction is issued and a second management strategy is implemented; Step 4: Collect the load data of the i-th type of tools during use and construct the load risk factor FHFX of the i-th type of tools i , and preset the load risk threshold FHYZ, if the load risk coefficient FHFX of the i-th type tool i > load risk threshold FHYZ, a third warning instruction is issued and the third management strategy is implemented; Step 5: After the first, second and third warning instructions are not executed, the comprehensive risk coefficient ZHFX of the i-th type of tool is constructed i , and preset the comprehensive risk threshold ZHYZ, if the comprehensive risk coefficient of the i-th type of tool is ZHFX i > Comprehensive risk threshold ZHYZ, then issue the fourth early warning instruction and implement the fourth management strategy; Step 6: During the execution of steps 2 to 5, all calculation results and corresponding strategy execution status are archived and stored for the i-th type of tools.