CN113333304B - Environment-friendly coiled material detection, evaluation and sorting system based on Internet - Google Patents
Environment-friendly coiled material detection, evaluation and sorting system based on Internet Download PDFInfo
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- CN113333304B CN113333304B CN202110860336.5A CN202110860336A CN113333304B CN 113333304 B CN113333304 B CN 113333304B CN 202110860336 A CN202110860336 A CN 202110860336A CN 113333304 B CN113333304 B CN 113333304B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/04—Sorting according to size
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention discloses an internet-based environment-friendly coiled material detection, evaluation and sorting system, relates to the technical field of coiled material detection, evaluation and sorting, and solves the technical problem that detection values are inaccurate as the same parameter cannot be acquired in different modes and analyzed according to actual values of the parameter acquired in different modes in the prior art; the invention detects the thickness of the coiled material in different modes, calculates a plurality of difference average values according to different results, detects the repeatability of the thickness of the coiled material, improves the accuracy of coiled material detection, and prevents detection result errors caused by errors of detection equipment or detection methods; and the stability of the coiled material is detected, the phenomenon that the thickness of the detected coiled material is changed to cause that the unqualified coiled material is judged as the qualified coiled material is avoided, so that the unqualified coiled material is put into use, and the use quality of the coiled material by a user is greatly reduced.
Description
Technical Field
The invention relates to the technical field of coiled material detection, evaluation and sorting, in particular to an environment-friendly coiled material detection, evaluation and sorting system based on the Internet.
Background
The coiled material is a waterproof material which is produced and formed, and the waterproof material is divided into two types, one type is coating, and the other type is coiled material; the prior coiled material is in the categories of SBS, APP, self-adhesion, polypropylene fiber, PVC, chlorinated polyethylene, ethylene propylene terpolymer and the like, while the prior coating is in the categories of polyurethane, JS, acrylate and the like, and the coiled material and the coating thereof are the envelope structure of a building, so that the coiled material not only can prevent the penetration of rainwater, snow water and underground water, but also can prevent the erosion of moisture, steam and other harmful gases and liquid in the air;
however, in the prior art, when the coiled material is detected, the same parameter cannot be acquired in different modes and analyzed according to actual values of the parameter acquired in different modes, so that the numerical value of the coiled material is influenced by a plurality of factors in the detection process, and the detected numerical value is inaccurate; meanwhile, coiled materials are not divided in the detection process, different coiled materials correspond to different detection durations, so that detection results are different, but the same standard is still used for evaluation, so that the detection evaluation efficiency of the coiled materials is reduced;
in view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to provide an internet-based environment-friendly coiled material detection, evaluation and sorting system, which divides coiled materials according to bias values, prevents different detection durations of the coiled materials and different detection results, and judges qualified coiled materials as unqualified coiled materials if the coiled materials are compared with a single standard, so that the detection work efficiency is reduced, and the unnecessary cost waste of the coiled materials is increased; the thickness of the coiled material is detected in different modes, a plurality of difference value average values are calculated according to different results, the repeatability of the thickness of the coiled material is detected, the accuracy of coiled material detection is improved, and detection result errors caused by errors of detection equipment or detection methods are prevented; and the stability of the coiled material is detected, the phenomenon that the thickness of the coiled material is changed after detection, so that the unqualified coiled material is judged to be a qualified coiled material is avoided, the unqualified coiled material is put into use, and the use quality of the coiled material by a user is greatly reduced.
The purpose of the invention can be realized by the following technical scheme:
an environment-friendly coiled material detection, evaluation and sorting system based on the Internet comprises a detection and evaluation platform, a sorting platform and a user use terminal;
the detection and evaluation platform is used for detecting the quality of the coiled material, generating a qualified coiled material signal corresponding to qualified detection of the coiled material and sending the qualified coiled material signal to the server; monitoring environmental information of coiled material production, judging detection quality of the coiled material through environmental analysis, and analyzing external natural factors; detecting the operation data of the coiled material production equipment, if the corresponding coiled material is qualified, generating a detection and evaluation qualified signal and sending the detection and evaluation qualified signal to a server;
the sorting platform collects signals in the server, sorts the coiled materials according to the signals collected in the server, and sends serial numbers of the sorted coiled materials to a user terminal;
and the user terminal is used for receiving the coiled material number and counting the failure rate of the received coiled material.
As a preferred embodiment of the present invention, the inspection and evaluation platform includes a web inspection unit:
the coiled material detection unit detects the coiled material, randomly extracts the coiled material as a detection sample, and marks the detection sample as i, wherein i is a natural number greater than 1; collecting a packing length corresponding to the detection sample and marking the packing length as a reference value, wherein the packing length is expressed as a rated length of the coiled material packed in the production process of the detection sample; collecting the actual packing length of the detection sample and marking the actual packing length as an observed value; acquiring the average value of the observation values by taking the number of the coiled materials in the detection sample as a base number, performing difference on the average value of the observation values and a reference value, marking the corresponding difference value as a bias value, and setting a label PYi; dividing the coiled materials in the detection sample into a group according to the bias values, wherein the division mode is that the bias values are equal or the difference is smaller than the bias value difference threshold value;
randomly selecting five detection personnel, randomly selecting one selected personnel from the five detection personnel for operation, measuring the thickness of the same coiled material in the detection sample by the selected personnel through the same equipment, wherein the thickness acquisition frequency is an acquisition frequency threshold, acquiring a difference average value of the thickness measurement values in the acquisition frequency threshold, and marking the difference average value as PJi; operating five selected detection personnel, wherein the five detection personnel respectively adopt the same equipment to measure the thickness of the same coiled material in the detection sample, and the detection times of the five detection personnel are all one time; acquiring the average value of the difference values of the thickness measurement values corresponding to the five testers, and marking the average value as CZi; setting detection time, continuously measuring the thickness of the same coiled material in the detection sample in the detection time, obtaining the average value of the difference values of the corresponding thickness measurement values in the detection time, and marking the average value as CLi; and analyzing the difference average values PJi, CZi and CLi respectively.
As a preferred embodiment of the present invention, the specific difference average analysis process is as follows:
respectively analyzing the difference average values PJi, CZi and CLi, and if the difference average value PJi is not in the corresponding threshold range, judging that the detection repeatability of the corresponding coiled material is unqualified; if the difference average value CZi is not within the corresponding threshold value range, determining that the detection repeatability of the corresponding coiled material is unqualified; if the difference value average value CLi is not within the corresponding threshold value range, judging that the detection stability of the corresponding coiled material is unqualified; and if the difference value average values PJi, CZi and CLi are all located in the corresponding threshold range, detecting the corresponding coiled materials to be qualified, generating a qualified coiled material signal and sending the qualified coiled material signal to the server.
As a preferred embodiment of the invention, the detection and evaluation platform comprises an environment monitoring unit:
the environment monitoring unit monitors environment information of coiled material production in the detection sample, and acquires the environment information of the coiled material production in the detection sample, wherein the environment information comprises temperature data and humidity data, the temperature data is the temperature of the surrounding environment in the coiled material production process, and the humidity data is the humidity of the surrounding environment in the coiled material production process; taking the production starting time of the coiled materials in the detection sample as the environmental information starting acquisition time, taking the production ending time of the coiled materials in the detection sample as the environmental information ending acquisition time, and marking the interval time interval between the environmental information starting acquisition time and the environmental information ending acquisition time as detection time; acquiring temperature values and humidity values of the peripheral environment in the production process of the coiled material in the detection sample within the detection time, marking the highest temperature value of the peripheral environment within the detection time as WDmax and the lowest temperature value as WDmin, and simultaneously acquiring the average temperature value of the peripheral environment within the detection time and marking the average temperature value as WDp; marking the highest humidity value of the periphery environment in the detection time as SDmax, marking the lowest humidity value as SDmin, and simultaneously acquiring the average humidity value of the periphery environment in the detection time and marking the average humidity value as SDp; and obtaining an environment analysis coefficient HJ of the coiled material production in the detection time through analysis, and comparing the environment analysis coefficient HJ of the coiled material production in the detection time with an environment analysis coefficient threshold value.
As a preferred embodiment of the present invention, the specific comparison process of the environmental analysis coefficients is as follows:
if the environmental analysis coefficient HJ of the coiled material production in the detection time is larger than or equal to the environmental analysis coefficient threshold value, judging that the detection sample production environment is unqualified, generating an environment unqualified signal and sending the environment unqualified signal to a server; and if the environmental analysis coefficient HJ of the coiled material production is less than the environmental analysis coefficient threshold value within the detection time, judging that the detection sample production environment is detected qualified, generating an environment qualified signal and sending the environment qualified signal to the server.
As a preferred embodiment of the invention, the detection and evaluation platform comprises an evaluation and analysis unit:
the evaluation analysis unit analyzes the detection evaluation of the detection sample, acquires a coil qualified signal, an environment qualified signal or an environment unqualified signal and an equipment qualified signal or an equipment unqualified signal in the server, judges that the corresponding coil is qualified if the coil qualified signal exists in the server and the environment unqualified signal or the equipment unqualified signal exists, generates a coil prediction fault signal and sends the prediction fault signal to the server; if a qualified coil signal exists in the server, and an environment qualified signal and an equipment qualified signal exist, judging that the corresponding coil is qualified, generating a detection and evaluation qualified signal and sending the detection and evaluation qualified signal to the server; if the qualified coil signals do not exist in the server, and the unqualified environment signals or the unqualified equipment signals exist in the server, judging that the production environment or the production equipment is abnormal, generating production environment seton signals or production equipment seton signals, and sending the production environment signals or the production equipment seton signals to the server; and if the qualified coil signals do not exist in the server, and the qualified environment signals and the qualified equipment signals exist, judging that the operation of workers is abnormal, generating abnormal operation signals and sending the abnormal operation signals to the server.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the coiled material is detected and is a basis for evaluating and sorting, and the higher the detection accuracy of the coiled material is, the more accurate the evaluation and sorting is, so that the sorting efficiency of the coiled material is more efficient, the use of the problematic coiled material is reduced, and the use quality of a user is also improved; the coiled materials are divided according to the bias values, so that different detection time durations of the coiled materials are prevented from being different, detection results are different, if the coiled materials are compared with each other according to a single standard, the qualified coiled materials are judged to be unqualified coiled materials, the detection working efficiency is reduced, and meanwhile, unnecessary cost waste of the coiled materials is increased;
the difference average value PJi reflects the repeatability of the thickness of the coiled material, improves the accuracy of coiled material detection, and prevents detection result errors caused by errors of detection equipment or detection methods; the difference average value CZi reflects the repeatability of the thickness of the coiled material, improves the accuracy of the detected value, and prevents the deviation of the detected value caused by the abnormal operation of the working personnel; the difference value average value CLi reflects the stability of the coiled material, and the phenomenon that the thickness of the coiled material changes after detection to cause that the unqualified coiled material is judged as the qualified coiled material is avoided, so that the unqualified coiled material is put into use, and the use quality of the coiled material by a user is greatly reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is an overall schematic block diagram of the present invention;
fig. 2 is a schematic block diagram of the sorting platform of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
as shown in fig. 1, an environment-friendly coiled material detection, evaluation and sorting system based on the internet comprises a detection and evaluation platform, a sorting platform and user terminals, wherein the detection and evaluation platform, the sorting platform and the user terminals are adjacent in pairs and are in bidirectional communication connection; the detection and evaluation platform comprises a server, a coiled material detection unit, an environment detection unit, an evaluation and analysis unit and an equipment detection unit, wherein the server is in bidirectional communication connection with the coiled material detection unit, the environment detection unit, the evaluation and analysis unit and the equipment detection unit;
coiled material detecting element is used for detecting the coiled material, detects coiled material itself, and coiled material itself is the foundation of aassessment letter sorting, and the accuracy that coiled material itself detected is higher, and aassessment letter sorting is more accurate to make the letter sorting efficiency of coiled material more high-efficient, reduce the problem coiled material and put into use, also improved user's use quality, concrete coiled material testing process as follows:
step S1: randomly extracting the coiled material as a detection sample, and marking the detection sample as i, wherein i is a natural number more than 1; collecting a packing length corresponding to the detection sample and marking the packing length as a reference value, wherein the packing length is expressed as a rated length of the coiled material packed in the production process of the detection sample; collecting the actual packing length of the detection sample and marking the actual packing length as an observed value; acquiring the average value of the observation values by taking the number of the coiled materials in the detection sample as a base number, performing difference on the average value of the observation values and a reference value, marking the corresponding difference value as a bias value, and setting a label PYi; in the application, the bias value only collects numerical values, and the positive and negative values are not counted;
dividing the coiled materials in the detection sample into a group according to the bias values, wherein the bias values are equal or the difference is smaller than the bias value difference threshold, assuming that the bias value of A is 1, the bias value of B is 1.2, the bias value of C is 5, the bias value of D is 5.2, the bias value difference threshold is 0.5, the A and B are a group, and the C and D are a group;
detecting the coiled materials divided in the detection sample; the coiled materials are divided according to the bias values, so that different detection time durations of the coiled materials are prevented from being different, detection results are different, if the coiled materials are compared with each other according to a single standard, the qualified coiled materials are judged to be unqualified coiled materials, the detection working efficiency is reduced, and meanwhile, unnecessary cost waste of the coiled materials is increased;
step S2: randomly selecting five detection personnel, randomly selecting one selected personnel from the five detection personnel for operation, measuring the thickness of the same coiled material in the detection sample by the selected personnel through the same equipment, wherein the thickness acquisition frequency is an acquisition frequency threshold, acquiring a difference average value of the thickness measurement values in the acquisition frequency threshold, and marking the difference average value as PJi; the difference average value PJi reflects the repeatability of the thickness of the coiled material, improves the accuracy of coiled material detection, and prevents detection result errors caused by errors of detection equipment or detection methods;
step S3: operating five selected detection personnel, wherein the five detection personnel respectively adopt the same equipment to measure the thickness of the same coiled material in a detection sample, and the detection times of the five detection personnel are all one time; acquiring the average value of the difference values of the thickness measurement values corresponding to the five testers, and marking the average value as CZi; the difference average value CZi reflects the repeatability of the thickness of the coiled material, improves the accuracy of the detected value, and prevents the deviation of the detected value caused by the abnormal operation of the working personnel;
step S4: setting detection time, continuously measuring the thickness of the same coiled material in a detection sample in the detection time, obtaining the average value of the difference values of the corresponding thickness measurement values in the detection time, and marking the average value of the difference values as CLi, wherein the CLi represents the stability of the coiled material, and the phenomenon that the thickness of the coiled material changes after detection to cause that the unqualified coiled material is judged as a qualified coiled material is avoided, so that the unqualified coiled material is put into use, and the use quality of the coiled material by a user is greatly reduced;
step S5: respectively analyzing the difference average values PJi, CZi and CLi, and if the difference average value PJi is not in the corresponding threshold range, judging that the detection repeatability of the corresponding coiled material is unqualified; if the difference average value CZi is not within the corresponding threshold value range, determining that the detection repeatability of the corresponding coiled material is unqualified; if the difference value average value CLi is not within the corresponding threshold value range, judging that the detection stability of the corresponding coiled material is unqualified; if the difference value average values PJi, CZi and CLi are all located in the corresponding threshold value range, detecting the corresponding coiled materials to be qualified, generating a qualified coiled material signal and sending the qualified coiled material signal to a server;
the environmental monitoring unit is used for detecting the environmental information of coil production in the sample and monitors, monitors the production environment of coil, judges the detection quality of coil through environmental analysis, carries out the analysis to external natural factor, has effectively improved the work efficiency that the coil detected, and concrete environmental monitoring process is as follows:
step SS 1: collecting environmental information of coiled material production in a detection sample, wherein the environmental information comprises temperature data and humidity data, the temperature data is the temperature of the surrounding environment in the coiled material production process, and the humidity data is the humidity of the surrounding environment in the coiled material production process; taking the production starting time of the coiled materials in the detection sample as the environmental information starting acquisition time, taking the production ending time of the coiled materials in the detection sample as the environmental information ending acquisition time, and marking the interval time interval between the environmental information starting acquisition time and the environmental information ending acquisition time as detection time;
step SS 2: acquiring temperature values and humidity values of the peripheral environment in the production process of the coiled material in the detection sample within the detection time, marking the highest temperature value of the peripheral environment within the detection time as WDmax and the lowest temperature value as WDmin, and simultaneously acquiring the average temperature value of the peripheral environment within the detection time and marking the average temperature value as WDp;
marking the highest humidity value of the periphery environment in the detection time as SDmax, marking the lowest humidity value as SDmin, and simultaneously acquiring the average humidity value of the periphery environment in the detection time and marking the average humidity value as SDp;
step SS 3: by the formula
Acquiring an environment analysis coefficient HJ of the coiled material production within the detection time, wherein a1 and a2 are preset weight coefficients, the values are 1.2 and 1.02 respectively, and e is a natural constant; the environment analysis coefficient is a numerical value used for evaluating the qualified probability of the production environment of the detection sample by carrying out normalization processing on the parameters of the environment within the detection time; the larger the temperature critical value difference value and the humidity critical value difference value obtained by a formula are, the larger the environmental analysis coefficient is, and the smaller the qualified probability of the production environment of the detection sample is; the temperature critical value is respectively the highest temperature value and the lowest temperature value, the humidity critical value is respectively the highest humidity value and the lowest humidity value, the larger the temperature critical value difference value and the humidity critical value difference value are, the larger the environmental temperature range and the humidity range in the production process are, so the rated temperature value and the humidity range exceeding the coil production areThe higher the probability of the humidity value is, the more inversely proportional the environmental analysis coefficient, the temperature critical value difference value and the humidity critical value difference value are in the application;
step SS 4: comparing the environmental analysis coefficient HJ of the coiled material production in the detection time with an environmental analysis coefficient threshold value: if the environmental analysis coefficient HJ of the coiled material production in the detection time is larger than or equal to the environmental analysis coefficient threshold value, judging that the detection sample production environment is unqualified, generating an environment unqualified signal and sending the environment unqualified signal to a server; if the environmental analysis coefficient HJ of the coiled material production is smaller than the environmental analysis coefficient threshold value within the detection time, judging that the detection sample production environment is detected to be qualified, generating an environment qualified signal and sending the environment qualified signal to a server;
the equipment detecting element is used for detecting coiled material production facility operating data, through carrying out the analysis to coiled material production facility, has improved the accuracy that the coiled material detected the aassessment, carries out the analysis to the human factor, prevents that the check out test set from leading to the detection numerical value of coiled material in the detection sample unusually reducing, leads to the production qualification rate reduction of coiled material, and concrete equipment testing process is as follows:
marking production equipment corresponding to the coiled materials in the detection sample as o, wherein o is a natural number greater than 1, collecting continuous working time of the coiled material production equipment in detection time, and marking the continuous working time of the coiled material production equipment as SCo; collecting the difference value between the real-time temperature of the coil production equipment and the temperature of the surrounding environment in the detection time, and marking the difference value between the real-time temperature of the coil production equipment and the temperature of the surrounding environment as CZo; collecting the frequency of the production operation of the coil production equipment within the detection time, and marking the frequency as PLo;
by the formula
Obtaining detection coefficients SBo of the coil production equipment within the detection time, wherein c1, c2 and c3 are all preset weight coefficients and take values of 2.1, 2.2 and 2.24 respectively, and beta is an error correction factor and takes a value of 0.81; the detection coefficient of the production equipment is a numerical value for evaluating the qualified operation probability of the production equipment corresponding to the detection sample by normalizing the parameters of the production equipment(ii) a The larger the continuous working time, the environmental temperature difference and the running frequency are obtained through a formula, the larger the detection coefficient of the production equipment is, and the smaller the qualified probability of the production equipment is represented;
comparing the detection coefficient of the coiled material production equipment in the detection time with the detection coefficient threshold value of the production equipment: if the detection coefficient of the coiled material production equipment is not less than the detection coefficient threshold of the production equipment within the detection time, judging that the coiled material production equipment is unqualified, generating an equipment unqualified signal and sending the equipment unqualified signal to a server; if the detection coefficient of the coiled material production equipment is smaller than the detection coefficient threshold value of the production equipment within the detection time, judging that the coiled material production equipment is qualified, generating an equipment qualified signal and sending the equipment qualified signal to a server;
the evaluation and analysis unit is used for analyzing the detection evaluation of the detection sample, acquiring a coil qualified signal, an environment qualified signal or an environment unqualified signal and an equipment qualified signal or an equipment unqualified signal in the server, judging that the corresponding coil is qualified if the coil qualified signal exists in the server and the environment unqualified signal or the equipment unqualified signal exists, generating a coil prediction fault signal and sending the prediction fault signal to the server; if a qualified coil signal exists in the server, and an environment qualified signal and an equipment qualified signal exist, judging that the corresponding coil is qualified, generating a detection evaluation qualified signal and sending the detection evaluation qualified signal to the server; if the qualified coil signals do not exist in the server, and the unqualified environment signals or the unqualified equipment signals exist in the server, judging that the production environment or the production equipment is abnormal, generating production environment seton signals or production equipment seton signals, and sending the production environment signals or the production equipment seton signals to the server; and if the qualified coil signals do not exist in the server, and the qualified environment signals and the qualified equipment signals exist, judging that the operation of workers is abnormal, generating abnormal operation signals and sending the abnormal operation signals to the server.
Example 2:
as shown in fig. 2, when the internet-based environment-friendly coiled material detection, evaluation and sorting system is used for a sorting platform, the sorting platform comprises a controller, a sorting unit and an efficiency analysis unit;
the sorting unit is used for collecting signals of the server, and sending the coiled material number corresponding to the detection and evaluation qualified signal to the controller after the detection and evaluation qualified signal in the server is collected, and the controller controls the terminal equipment to sort the coiled material with the corresponding number and send the sorted coiled material to the user terminal;
the efficiency analysis unit is used for carrying out efficiency analysis on the sorting of the controller, preventing the use quality of a user from being reduced due to sorting faults of the controller, acquiring the quantity of the coiled materials received by a user using terminal, acquiring the quantity of the coiled materials with abnormal use in the quantity of the received coiled materials, calculating the reject ratio of the coiled materials according to the ratio, and dividing the abnormal use into two types, namely using the coiled materials after the coiled materials are rectified by the user and using the coiled materials which cannot be used by the user; if the rejection rate of the coiled materials is larger than or equal to the rejection rate threshold value, generating an efficiency analysis signal and carrying out efficiency analysis on the sorting platform and the detection evaluation platform;
acquiring a coiled material with abnormal use in a user terminal, and marking the coiled material as an abnormal coiled material; if the abnormal coiled material is a qualified coiled material for detection and evaluation, judging that the detection efficiency of the detection and evaluation platform is abnormal, generating an abnormal efficiency signal of the detection and evaluation platform and sending the abnormal efficiency signal of the detection and evaluation platform to a server; if the abnormal coiled material is not the coiled material qualified in detection and evaluation, judging that the efficiency of the sorting platform is abnormal, generating an abnormal efficiency signal of the sorting platform and sending the abnormal efficiency signal of the sorting platform to the controller.
When the environment-friendly coiled material detection, evaluation and sorting system works, the quality of a coiled material is detected through a detection and evaluation platform, the coiled material is qualified correspondingly, a coiled material qualified signal is generated, and the coiled material qualified signal is sent to a server; monitoring environmental information of coiled material production, judging detection quality of the coiled material through environmental analysis, and analyzing external natural factors; detecting the operation data of the coiled material production equipment, if the corresponding coiled material is qualified, generating a detection and evaluation qualified signal and sending the detection and evaluation qualified signal to a server; the sorting platform collects signals in the server, sorts the coiled materials according to the signals collected in the server, and sends serial numbers of the sorted coiled materials to a user terminal; and the user uses the terminal to receive the coiled material number and carries out the disqualification rate statistics on the received coiled material.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (4)
1. An environment-friendly coiled material detection, evaluation and sorting system based on the Internet is characterized by comprising a detection and evaluation platform, a sorting platform and a user use terminal;
the detection and evaluation platform is used for detecting the quality of the coiled material, generating a qualified coiled material signal corresponding to qualified detection of the coiled material and sending the qualified coiled material signal to the server; monitoring environmental information of coiled material production, judging the detection quality of the coiled material through environmental analysis, and analyzing external natural factors; detecting the operation data of the coiled material production equipment, if the corresponding coiled material is qualified, generating a detection and evaluation qualified signal and sending the detection and evaluation qualified signal to a server;
the sorting platform collects signals in the server, sorts the coiled materials according to the signals collected in the server, and sends serial numbers of the sorted coiled materials to a user terminal;
the user using terminal is used for receiving the coiled material number and counting the failure rate of the received coiled material;
the detection and evaluation platform comprises a coiled material detection unit:
the coiled material detection unit detects the coiled material, randomly extracts the coiled material as a detection sample, and marks the detection sample as i, wherein i is a natural number greater than 1; collecting a packing length corresponding to the detection sample and marking the packing length as a reference value, wherein the packing length is expressed as a rated length of the coiled material packed in the production process of the detection sample; collecting the actual packing length of the detection sample and marking the actual packing length as an observed value; acquiring an average value of the observation values according to the number of the coiled materials in the detection sample as a base number, performing difference on the average value of the observation values and a reference value, marking the corresponding difference value as a bias value, and setting a label PYi; dividing the coiled materials in the detection sample into a group according to the bias values, wherein the division mode is that the bias values are equal or the difference is smaller than the bias value difference threshold value;
randomly selecting five detection personnel, randomly selecting one selected personnel from the five detection personnel for operation, measuring the thickness of the same coiled material in the detection sample by the selected personnel through the same equipment, wherein the thickness acquisition frequency is an acquisition frequency threshold, acquiring a difference average value of the thickness measurement values in the acquisition frequency threshold, and marking the difference average value as PJi; operating five selected detection personnel, wherein the five detection personnel respectively adopt the same equipment to measure the thickness of the same coiled material in the detection sample, and the detection times of the five detection personnel are all one time; acquiring the average value of the difference values of the thickness measurement values corresponding to the five testers, and marking the average value as CZi; setting detection time, continuously measuring the thickness of the same coiled material in the detection sample in the detection time, obtaining the average value of the difference values of the corresponding thickness measurement values in the detection time, and marking the average value as CLi; respectively analyzing the difference average values PJi, CZi and CLi;
the specific difference average analysis procedure was as follows:
respectively analyzing the difference average values PJi, CZi and CLi, and if the difference average value PJi is not in the corresponding threshold range, judging that the detection repeatability of the corresponding coiled material is unqualified; if the difference average value CZi is not within the corresponding threshold value range, determining that the detection repeatability of the corresponding coiled material is unqualified; if the difference value average value CLi is not within the corresponding threshold value range, judging that the detection stability of the corresponding coiled material is unqualified; and if the difference value average values PJi, CZi and CLi are all located in the corresponding threshold range, detecting the corresponding coiled materials to be qualified, generating a qualified coiled material signal and sending the qualified coiled material signal to the server.
2. The internet-based environment-friendly coil detection, evaluation and sorting system as claimed in claim 1, wherein the detection and evaluation platform comprises an environment monitoring unit:
the environment monitoring unit monitors environment information of coiled material production in the detection sample, and acquires the environment information of the coiled material production in the detection sample, wherein the environment information comprises temperature data and humidity data, the temperature data is the temperature of the surrounding environment in the coiled material production process, and the humidity data is the humidity of the surrounding environment in the coiled material production process; taking the production starting time of the coiled materials in the detection sample as the environmental information starting acquisition time, taking the production ending time of the coiled materials in the detection sample as the environmental information ending acquisition time, and marking the interval time interval between the environmental information starting acquisition time and the environmental information ending acquisition time as detection time; acquiring temperature values and humidity values of the peripheral environment in the production process of the coiled material in the detection sample within the detection time, marking the highest temperature value of the peripheral environment within the detection time as WDmax and the lowest temperature value as WDmin, and simultaneously acquiring the average temperature value of the peripheral environment within the detection time and marking the average temperature value as WDp; marking the highest humidity value of the periphery environment in the detection time as SDmax, marking the lowest humidity value as SDmin, and simultaneously acquiring the average humidity value of the periphery environment in the detection time and marking the average humidity value as SDp; and obtaining an environment analysis coefficient HJ of the coiled material production in the detection time through analysis, and comparing the environment analysis coefficient HJ of the coiled material production in the detection time with an environment analysis coefficient threshold value.
3. The internet-based environment-friendly coil detection, evaluation and sorting system as claimed in claim 2, wherein the specific comparison process of the environment analysis coefficients is as follows:
if the environmental analysis coefficient HJ of the coiled material production in the detection time is larger than or equal to the environmental analysis coefficient threshold value, judging that the detection sample production environment is unqualified, generating an environment unqualified signal and sending the environment unqualified signal to a server; and if the environmental analysis coefficient HJ of the coiled material production is less than the environmental analysis coefficient threshold value within the detection time, judging that the detection sample production environment is detected qualified, generating an environment qualified signal and sending the environment qualified signal to the server.
4. The internet-based environment-friendly coil detection, evaluation and sorting system as claimed in claim 1, wherein the detection and evaluation platform comprises an evaluation and analysis unit:
the evaluation analysis unit analyzes the detection evaluation of the detection sample, acquires a coil qualified signal, an environment qualified signal or an environment unqualified signal and an equipment qualified signal or an equipment unqualified signal in the server, judges that the corresponding coil is qualified if the coil qualified signal exists in the server and the environment unqualified signal or the equipment unqualified signal exists, generates a coil prediction fault signal and sends the prediction fault signal to the server; if a qualified coil signal exists in the server, and an environment qualified signal and an equipment qualified signal exist, judging that the corresponding coil is qualified, generating a detection evaluation qualified signal and sending the detection evaluation qualified signal to the server; if the qualified coil signals do not exist in the server, and the unqualified environment signals or the unqualified equipment signals exist in the server, judging that the production environment or the production equipment is abnormal, generating production environment seton signals or production equipment seton signals, and sending the production environment signals or the production equipment seton signals to the server; and if the qualified coil signals do not exist in the server, and the qualified environment signals and the qualified equipment signals exist, judging that the operation of workers is abnormal, generating abnormal operation signals and sending the abnormal operation signals to the server.
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| BG49077A1 (en) * | 1982-06-16 | 1991-08-15 | Nii Kartofelnogokhozjajstva | Device for root crops sorting per quality |
| CN103990603A (en) * | 2014-06-05 | 2014-08-20 | 苏州大学 | Sphere surface quality detection method and device |
| CN206373084U (en) * | 2016-11-15 | 2017-08-04 | 常州机电职业技术学院 | Streamline product quality detects sorting system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| BG49077A1 (en) * | 1982-06-16 | 1991-08-15 | Nii Kartofelnogokhozjajstva | Device for root crops sorting per quality |
| CN103990603A (en) * | 2014-06-05 | 2014-08-20 | 苏州大学 | Sphere surface quality detection method and device |
| CN206373084U (en) * | 2016-11-15 | 2017-08-04 | 常州机电职业技术学院 | Streamline product quality detects sorting system |
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