CN111797311B - Elevator weight balance coefficient detection system - Google Patents
Elevator weight balance coefficient detection system Download PDFInfo
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Abstract
The invention discloses an elevator weight balance coefficient detection system which comprises a source acquisition unit, an elevator number circling unit, an elevator selection unit, an object measuring unit, a data induction unit, a display unit, an opinion generating unit, a decision base, an enterprise information base, a comprehensive dividing unit, a self-cleaning unit and a recommending unit, wherein the elevator number circling unit is used for circling the elevator number; the elevator detection method comprises the steps of acquiring the numbers of all elevators required to be detected by a client through a source acquisition unit, carrying out quantitative selection analysis by utilizing an elevator number circling unit in combination with specific detection time to obtain elevator selection numbers, namely the number of the elevators required to be detected by the corresponding client, determining all elevators to be detected by utilizing the elevator selection unit in combination with related rules and algorithms, transmitting the elevators to be detected to an object detection unit for detection, and transmitting the detection results to a data induction unit by utilizing the object detection unit; the data induction unit generates corresponding signals according to the measuring results and generates different content prompts according to the corresponding signals.
Description
Technical Field
The invention belongs to the field of elevator safety detection, relates to a balance coefficient detection technology, and particularly relates to an elevator weight balance coefficient detection system.
Background
The patent with publication number CN100391821C discloses a method for measuring the balance coefficient of an elevator, and the invention adopts a weight-free load test method which comprises the steps of collecting and processing detection signals of a sensor. The vertical steel wire rope is hooked by the rope hooks at the two ends of the steel wire rope measuring device at the car end and the counterweight end respectively, the spiral propeller rotates clockwise to jack the sensor, the sensor has a detection signal output at the moment and carries out signal processing through the data acquisition device, the upper computer and software process transmitted data, the weight of the car and the counterweight is deduced, the elevator balance coefficient is calculated through a mechanical basic formula of the elevator balance coefficient, and a test report is printed out by a printer. The invention breaks through the principle and thought of the traditional elevator balance coefficient test, provides a brand new thought and development direction, lightens the labor intensity of testers, shortens the test time and improves the working efficiency.
However, although a method for measuring the elevator balance coefficient is specifically disclosed, the measured coefficient does not function in a customer evaluation system, and the function of performing comprehensive evaluation in the customer evaluation system is not provided; meanwhile, certain reference is not given to the selection of the cooperative object; to solve this problem, a solution is now provided.
Disclosure of Invention
The invention aims to provide an elevator weight balance coefficient detection system.
The purpose of the invention can be realized by the following technical scheme:
a system for detecting the weight balance coefficient of an elevator comprises a source acquisition unit, an elevator number definition unit, an elevator selection unit, an object measurement unit, a data induction unit, a display unit, an opinion generation unit, a decision base, an enterprise information base, a comprehensive division unit, a self-cleaning unit and a recommendation unit;
the source acquisition unit is used for acquiring the quantity of the elevators produced by the enterprise and marking the quantity as the total elevator quantity; the source acquisition unit is used for transmitting the total elevator quantity to the elevator number circling unit, and the source acquisition unit transmits the number information of all elevators to the elevator selection unit;
the ladder number circle unit receives the total ladder amount transmitted by the source acquisition unit, and performs quantitative selection analysis on the total ladder amount to obtain a ladder selection number Tx and a digital time group Xi, wherein i =1.. 8;
the elevator number circle unit is used for transmitting an elevator selection number Tx and a digital time group Xi to the elevator selection unit, the elevator selection unit receives the elevator selection number Tx and the digital time group Xi transmitted by the elevator number circle unit, the elevator selection unit receives the number information of all elevators transmitted by the source acquisition unit, and the elevator selection unit is used for carrying out screening operation on the number information of all elevators according to the elevator selection number Tx to obtain an elevator group Cj to be tested, wherein j =1.. Tx;
the elevator selection unit is used for transmitting the elevator group Cj to be tested to the object measuring unit, and the object measuring unit is used for measuring the balance coefficient of the elevator group Cj to be tested; the object measuring unit is used for comparing the balance coefficients of all the elevator groups to be measured Cj with a set threshold range, screening out the number of the elevator groups to be measured Cj which do not meet the condition, and marking the number as a loss number Sc; the object measuring unit is used for transmitting the elevator group to be measured Cj and the loss difference Sc to the data induction unit, the data induction unit receives the elevator group to be measured Cj and the loss difference Sc transmitted by the object measuring unit and generates opinions on the elevator group to be measured Cj and the loss difference Sc by combining the opinion generating unit and the decision base, and the specific opinion generating process is as follows:
s001: acquiring a to-be-detected elevator group Cj and a loss difference number Sc;
s002: calculating the error ratio Bs = Sc/Q according to a calculation formula; transmitting the deviation ratio Bs to an opinion generating unit;
s003: when the opinion generation unit receives the discrepancy ratio Bs transmitted by the data induction unit, the opinion generation unit automatically combines the opinion decision in the decision-making base to analyze the discrepancy ratio Bs; as shown in step S004;
s004: when Bs is less than B1, a reasonable signal is generated;
when B1 is less than or equal to Bs is less than or equal to B2, a differential signal is generated;
when Bs is larger than B2, a signal destroying signal is generated;
s005: the opinion generating unit transmits the generated reasonable signal, the difference signal and the damage signal back to the data summarization unit;
when the data induction unit receives the reasonable signal transmitted by the opinion generation unit, the data induction unit drives the display unit to display 'a current object which meets the standard in the process';
when the data induction unit receives the difference signal transmitted by the opinion generation unit, the data induction unit drives the display unit to display 'a current object, carefully considering, and generally qualified rate';
the data induction unit receives the information destroying signal transmitted by the opinion generation unit and drives the display unit to display 'the qualification rate of the current object is extremely low and cooperation is not suggested'.
Further, the quantitative selection analysis comprises the following specific steps:
the method comprises the following steps: firstly, acquiring the total amount of the ladder and marking the total amount of the ladder as Q;
step two: then obtaining a timestamp corresponding to the time when the total elevator quantity Q is received, wherein the timestamp is obtained according to a month, day, time and minute format;
step three: correspondingly and sequentially marking the digital time groups as X1-X8 to obtain a digital time group Xi, wherein i =1.. 8;
step four: and calculating the occupancy ratio Bz according to a formula, wherein the specific calculation formula of the Bz is as follows:
step five: judging Bz, and when the Bz is positioned between B1 and B2, the Bz at the moment is the Bz meeting the requirement;
when Bz is smaller than B1, selecting according to the sequence of Xi, i =3, 2, 7, 6 and 5, and replacing the selected sequence with X4 on the Bz calculation formula molecule; until the condition that Bz is between B1 and B2 is met;
when Bz is greater than B2, selecting according to the sequence of Xi, i =5, 6, 7, 2 and 3, and replacing the sequence with X4 on the Bz calculation formula molecule; until the condition that Bz is between B1 and B2 is met;
step six: after Bz is determined, calculating the ladder selection number Tx by using a formula, wherein Tx = Q × Bz;
step seven: the ladder selection number Tx is obtained.
Further, the specific steps of the elevator selection unit for performing the screening operation on the number information of all elevators according to the elevator selection number Tx are as follows:
s1: acquiring numbering information of all elevators;
s2: correspondingly marking the elevator as Di, i =1.. Q; wherein DQ represents the Q-th elevator;
s3: acquiring a ladder selection number Tx;
s4: simultaneously acquiring a corresponding digital time group Xi;
s5: calculating a first value Sy and a first value Se by using a calculation formula; the specific calculation formula is as follows:
where | denotes rounding;
s6: obtaining a first value Sy, a first value Se and a corresponding elevator Di, and selecting the elevator to be tested, wherein the specific selection process comprises the following steps:
s61: let i = Sy;
s62: acquiring a corresponding elevator Di, and marking the elevator Di as an elevator to be tested;
s63: let i = i + Sy; repeating the process of the step S62 to select the elevators to be tested until the number of the selected elevators to be tested is consistent with the number Tx of the elevators to be tested;
s64: if i + Sy is larger than Q and the number of correspondingly selected elevators to be detected does not reach the number Tx of elevator selection, the first selected elevator to be detected is removed, and the selection process of S61-S64 is repeated on the rest elevators Di until Tx elevators to be detected are selected;
s65: and obtaining the elevator group Cj, j =1.. Tx to be tested.
Further, the data induction unit is also used for transmitting the deviation ratio Bs and the tested objects to an enterprise information base, wherein the tested objects are cooperative object elevator manufacturing enterprises; the enterprise information base receives and stores all tested objects and corresponding error ratios Bs transmitted by the data summarization unit in real time, the self-cleaning unit is used for self-cleaning the tested objects and the corresponding error ratios Bs, and the specific cleaning process is as follows:
SS01: firstly, integrating the mismatch ratios Bs of all unified measured objects according to the measured objects, specifically, obtaining the mismatch ratios Bs obtained by the last three measurements according to the time stamps, averaging the mismatch ratios Bs, and marking the average as a target mismatch ratio Mb; if the number of times is less than three, the treatment is not carried out, and the treatment is carried out after waiting for three times;
SS02: marking all tested objects with the loss ratios lower than Mb as the loss-of-credit objects;
SS03: acquiring all the lost-credit objects, and deleting other data of all the lost-credit objects after establishing a lost-credit table;
and (4) SS04: acquiring and storing the rest tested objects and the corresponding target error ratio Mb thereof;
the comprehensive dividing unit is used for acquiring the transaction times of a user at all tested objects, and the user is a user needing to order an elevator; and carrying out recommendation analysis on the tested object and the corresponding target error ratio Mb thereof by combining the transaction times, wherein the specific recommendation analysis steps are as follows:
s010: acquiring all tested objects and corresponding target error ratios Mb thereof, and marking the target error ratios Mb corresponding to the tested objects as Mbj, wherein j =1.. N, and n is less than Q;
s020: correspondingly marking the transaction times as Yj, j =1.. N, wherein Yj corresponds to Mbj one to one;
s030: calculating a selection value Yzj of the corresponding tested object according to a formula; yzj =0.635 Mbj +0.365 Yj;
s040: and sorting the selected values Yzj from large to small, and marking the tested objects with the top three ranks as recommended objects.
Furthermore, the recommending unit is used for transmitting the recommended object to the recommending unit, the recommending unit is a user intelligent portable device, and the recommending unit receives the recommended object transmitted by the integrating unit, and stores and displays the recommended object in real time.
The invention has the beneficial effects that:
the elevator detection method comprises the steps of acquiring the numbers of all elevators required to be detected by a client through a source acquisition unit, carrying out quantitative selection analysis by utilizing an elevator number circling unit in combination with specific detection time to obtain elevator selection numbers, namely the number of the elevators required to be detected by the corresponding client, determining all elevators to be detected by utilizing the elevator selection unit in combination with related rules and algorithms, transmitting the elevators to be detected to an object detection unit for detection, and transmitting the detection results to a data induction unit by utilizing the object detection unit; the data induction unit generates corresponding signals according to the measuring result and generates different content prompts according to the corresponding signals;
meanwhile, the measurement result is transmitted to an enterprise information base, the self-cleaning unit is used for cleaning and integrating the content in the enterprise information base to obtain the error ratio of each enterprise, the comprehensive division unit is used for monitoring the transaction condition of the enterprise, and a recommended object is obtained by combining the transaction times and the error ratio and recommended to the user for selection; the invention is simple, effective and easy to use.
Drawings
To facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, an elevator weight balance coefficient detection system includes a source obtaining unit, a ladder number circling unit, a ladder selection unit, an object measuring unit, a data summarizing unit, a display unit, an opinion generating unit, a decision base, an enterprise information base, a comprehensive dividing unit, a self-cleaning unit and a recommending unit;
the source acquisition unit is used for acquiring the quantity of the elevators produced by the enterprise and marking the quantity as the total elevator quantity; the source acquisition unit is used for transmitting the total elevator quantity to the elevator number circling unit, and the source acquisition unit transmits the number information of all elevators to the elevator selection unit;
the ladder number circle unit receives the total ladder amount transmitted by the source acquisition unit and performs quantitative selection analysis on the total ladder amount, wherein the quantitative selection analysis specifically comprises the following steps:
the method comprises the following steps: firstly, acquiring the total ladder quantity, and marking the total ladder quantity as Q;
step two: then obtaining a timestamp corresponding to the time when the total elevator quantity Q is received, wherein the timestamp is obtained according to a month, day, time and minute format;
step three: correspondingly and sequentially marking the digital time groups as X1-X8 to obtain a digital time group Xi, i =1.. 8; specific examples are 14 minutes at 22 hours at 11 days 06 months; then X1-X8 correspond one-to-one with numbers 06112214;
step four: and calculating the occupancy ratio Bz according to a formula, wherein the specific calculation formula of the Bz is as follows:
step five: a decision is made as to whether, when Bz is located between B1 and B2,
when Bz is smaller than B1, selecting according to the sequence of Xi, i =3, 2, 7, 6 and 5, and replacing the sequence with X4 on the Bz calculation formula molecule; until the condition that Bz is between B1 and B2 is met;
when Bz is larger than B2, selecting according to the sequence of Xi, i =5, 6, 7, 2 and 3, and replacing the selected sequence with X4 on the Bz calculation formula molecule; until the condition that Bz is between B1 and B2 is satisfied;
step six: after Bz is determined, calculating the ladder selection number Tx by using a formula, wherein Tx = Q × Bz;
step seven: obtaining a ladder selection number Tx;
the elevator number circle unit is used for transmitting an elevator selection number Tx and a digital time group Xi to the elevator selection unit, the elevator selection unit receives the elevator selection number Tx and the digital time group Xi transmitted by the elevator number circle unit, the elevator selection unit receives the number information of all elevators transmitted by the source acquisition unit, the elevator selection unit is used for screening the number information of all elevators according to the elevator selection number Tx, and the specific screening operation steps are as follows:
s1: acquiring numbering information of all elevators;
s2: correspondingly marking the elevator as Di, i =1.. Q; wherein DQ represents the Q-th elevator;
s3: acquiring a ladder selection number Tx;
s4: simultaneously acquiring a corresponding digital time group Xi;
s5: calculating a first value Sy and a first value Se by using a calculation formula; the specific calculation formula is as follows:
wherein | denotes rounding;
s6: obtaining a first value Sy, a first value Se and a corresponding elevator Di, and selecting the elevator to be tested, wherein the specific selection process comprises the following steps:
s61: let i = Sy;
s62: acquiring a corresponding elevator Di, and marking the elevator Di as an elevator to be tested;
s63: let i = i + Sy; repeating the process of the step S62 to select the elevators to be tested until the number of the selected elevators to be tested is consistent with the number Tx of the elevators to be tested;
s64: if i + Sy is larger than Q and the number of correspondingly selected elevators to be detected does not reach the number Tx of elevator selection, the first selected elevator to be detected is removed, and the selection process of S61-S64 is repeated on the rest elevators Di until Tx elevators to be detected are selected;
s65: obtaining a to-be-tested elevator group Cj, j =1.. Tx;
the elevator selection unit is used for transmitting the elevator group Cj to be tested to the object determination unit, the object determination unit is used for measuring the balance coefficient of the elevator group Cj to be tested, the specific measurement method can adopt the measurement method with the announcement number of CN100391821C, and can also adopt other methods, many methods are disclosed in the prior art, so details are not described here, the object determination unit is used for comparing the balance coefficients of all the elevator groups Cj to be tested with a set threshold range, screening the number of the elevator groups Cj to be tested which do not meet the conditions, and marking the number as a loss number Sc; the object measuring unit is used for transmitting the elevator group to be measured Cj and the loss difference Sc to the data induction unit, the data induction unit receives the elevator group to be measured Cj and the loss difference Sc transmitted by the object measuring unit and generates opinions on the elevator group to be measured Cj and the loss difference Sc by combining the opinion generating unit and the decision base, and the specific opinion generating process is as follows:
s001: acquiring a to-be-detected elevator group Cj and a loss difference number Sc;
s002: calculating the error ratio Bs = Sc/Q according to a calculation formula; transmitting the deviation ratio Bs to an opinion generating unit;
s003: when the opinion generation unit receives the discrepancy ratio Bs transmitted by the data induction unit, the opinion generation unit automatically combines the opinion decision in the decision-making base to analyze the discrepancy ratio Bs; as shown in step S004;
s004: when Bs is less than B1, a reasonable signal is generated;
when B1 is more than or equal to Bs is less than or equal to B2, a differential signal is generated;
when Bs is larger than B2, a signal destroying signal is generated;
s005: the opinion generating unit transmits the generated reasonable signal, the difference signal and the damage signal back to the data induction unit;
when the data induction unit receives the reasonable signal transmitted by the opinion generation unit, the data induction unit drives the display unit to display 'a current object which meets the standard in the process';
when the data induction unit receives the differential signal transmitted by the opinion generation unit, the data induction unit drives the display unit to display 'a current object, carefully considered and general qualified rate';
the data induction unit receives the information destroying signal transmitted by the opinion generation unit and drives the display unit to display 'the qualification rate of the current object is extremely low and cooperation is not suggested';
the data induction unit is also used for transmitting the deviation ratio Bs and the tested objects to an enterprise information base, and the tested objects are cooperative object elevator manufacturing enterprises; the enterprise information base receives and stores all tested objects and corresponding error ratios Bs thereof transmitted by the data induction unit in real time, the self-cleaning unit is used for self-cleaning the tested objects and the corresponding error ratios Bs thereof, and the specific cleaning process is as follows:
SS01: firstly, integrating the mismatch ratios Bs of all unified measured objects according to the measured objects, specifically, obtaining the mismatch ratios Bs obtained by the last three measurements according to the time stamps, averaging the mismatch ratios Bs, and marking the average as a target mismatch ratio Mb; if the number of times is less than three, the treatment is not carried out, and the treatment is carried out after the treatment is carried out for three times;
SS02: marking all tested objects with the loss ratios lower than Mb as the loss-of-credit objects;
SS03: acquiring all the information loss objects, and deleting other data of all the information loss objects after establishing an information loss table;
and (4) SS04: acquiring and storing the rest measured objects and the corresponding target error ratios Mb thereof;
the comprehensive dividing unit is used for acquiring the transaction times of a user at all tested objects, and the user is the user needing to order the elevator; and carrying out recommendation analysis on the tested object and the corresponding target error ratio Mb thereof by combining the transaction times, wherein the specific recommendation analysis steps are as follows:
s010: acquiring all tested objects and corresponding target error ratios Mb thereof, and marking the target error ratios Mb of the corresponding tested objects as Mbj, wherein j =1.. N, and n is less than Q;
s020: correspondingly marking the transaction times as Yj, j =1.. N, wherein Yj corresponds to Mbj one to one;
s030: calculating a selection value Yzj of the corresponding tested object according to a formula; yzj =0.635 Mbj +0.365 Yj;
s040: sorting the selected values Yzj from large to small, and marking the tested objects ranked in the top three as recommended objects;
the recommendation unit is used for transmitting the recommendation object to the recommendation unit, the recommendation unit is a user intelligent portable device, and the recommendation unit receives the recommendation object transmitted by the comprehensive division unit, and stores and displays the recommendation object in real time.
When the system works, firstly, the serial numbers of all elevators required to be detected by a client are obtained through a source obtaining unit, and a number ladder circling unit is utilized to carry out quantitative selection analysis in combination with specific detection time to obtain the number ladder selections, namely the number of the elevators required to be detected by the corresponding client, and then the elevator to be detected is transmitted to an object measuring unit for detection after all the elevators to be detected are determined by utilizing the number ladder selection unit in combination with related rules and algorithms, and the measuring result is transmitted to a data summarizing unit by utilizing the object measuring unit; the data induction unit generates corresponding signals according to the measuring result and generates different content prompts according to the corresponding signals;
meanwhile, the measurement result is transmitted to the enterprise information base, the self-cleaning unit is used for cleaning and integrating the content in the enterprise information base to obtain the error ratio of each enterprise, the comprehensive unit is used for monitoring the transaction condition of the enterprise, and a recommended object is obtained by combining the transaction times and the error ratio and recommended to the user for selection.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (3)
1. An elevator weight balance coefficient detection system is characterized by comprising a source acquisition unit, a ladder number delineating unit, a ladder selection unit, an object measuring unit, a data summarizing unit, a display unit, an opinion generating unit, a decision base, an enterprise information base, a comprehensive dividing unit, a self-cleaning unit and a recommending unit;
the source acquisition unit is used for acquiring the quantity of the elevators produced by the enterprise and marking the quantity as the total elevator quantity; the source acquisition unit is used for transmitting the total elevator amount to the elevator number circling unit, and the source acquisition unit transmits the number information of all elevators to the elevator selection unit;
the ladder number circle unit receives the total ladder amount transmitted by the source acquisition unit, and performs quantitative selection analysis on the total ladder amount to obtain a ladder selection number Tx and a digital time group Xi, wherein i =1.. 8;
the elevator number circle unit is used for transmitting an elevator selection number Tx and a digital time group Xi to the elevator selection unit, the elevator selection unit receives the elevator selection number Tx and the digital time group Xi transmitted by the elevator number circle unit, the elevator selection unit receives the number information of all elevators transmitted by the source acquisition unit, and the elevator selection unit is used for carrying out screening operation on the number information of all elevators according to the elevator selection number Tx to obtain an elevator group Cj to be tested, wherein j =1.. Tx;
the elevator selection unit is used for transmitting the elevator group Cj to be tested to the object measuring unit, and the object measuring unit is used for measuring the balance coefficient of the elevator group Cj to be tested; the object measuring unit is used for comparing the balance coefficients of all the elevator groups to be measured Cj with a set threshold range, screening out the number of the elevator groups to be measured Cj which do not meet the condition, and marking the number as a loss number Sc; the object measuring unit is used for transmitting the elevator group to be measured Cj and the loss difference Sc to the data induction unit, the data induction unit receives the elevator group to be measured Cj and the loss difference Sc transmitted by the object measuring unit and generates opinions on the elevator group to be measured Cj and the loss difference Sc by combining the opinion generating unit and the decision base, and the specific opinion generating process is as follows:
s001: acquiring a to-be-detected elevator group Cj and a loss difference number Sc;
s002: calculating the error ratio Bs = Sc/Q according to a calculation formula; transmitting the deviation ratio Bs to an opinion generating unit;
s003: when the opinion generation unit receives the discrepancy ratio Bs transmitted by the data induction unit, the opinion generation unit automatically combines the opinion decision in the decision-making base to analyze the discrepancy ratio Bs; as shown in step S004;
s004: when Bs is less than B1, a reasonable signal is generated;
when B1 is less than or equal to Bs is less than or equal to B2, a differential signal is generated;
when Bs is larger than B2, a signal destroying signal is generated;
s005: the opinion generating unit transmits the generated reasonable signal, the difference signal and the damage signal back to the data summarization unit;
when the data induction unit receives the reasonable signal transmitted by the opinion generation unit, the data induction unit drives the display unit to display 'the current object which meets the standard in the process';
when the data induction unit receives the difference signal transmitted by the opinion generation unit, the data induction unit drives the display unit to display 'a current object, carefully considering, and generally qualified rate';
the data induction unit receives the information destroying signal transmitted by the opinion generation unit and drives the display unit to display 'the qualification rate of the current object is extremely low, and cooperation is not suggested';
the quantitative selection analysis comprises the following specific steps:
the method comprises the following steps: firstly, acquiring the total amount of the ladder and marking the total amount of the ladder as Q;
step two: then obtaining a timestamp corresponding to the time when the total elevator quantity Q is received, wherein the timestamp is obtained according to a month, day, time and minute format;
step three: correspondingly and sequentially marking the digital time groups as X1-X8 to obtain a digital time group Xi, wherein i =1.. 8;
step four: and calculating the occupancy ratio Bz according to a formula, wherein the specific calculation formula of the Bz is as follows:
step five: judging Bz, and when the Bz is positioned between B1 and B2, the Bz at the moment is the Bz meeting the requirement;
when Bz is smaller than B1, selecting according to the sequence of Xi, i =3, 2, 7, 6 and 5, and replacing the sequence with X4 on the Bz calculation formula molecule; until the condition that Bz is between B1 and B2 is met;
when Bz is larger than B2, selecting according to the sequence of Xi, i =5, 6, 7, 2 and 3, and replacing the selected sequence with X4 on the Bz calculation formula molecule; until the condition that Bz is between B1 and B2 is met;
step six: after Bz is determined, calculating the step selection number Tx by using a formula, wherein Tx = Q × Bz;
step seven: obtaining the ladder selection number Tx;
the elevator selection unit is used for screening the number information of all elevators according to the elevator selection number Tx and comprises the following specific steps:
s1: acquiring numbering information of all elevators;
s2: correspondingly marking the elevator as Di, i =1.. Q; wherein DQ represents the Q-th elevator;
s3: acquiring a ladder selection number Tx;
s4: simultaneously acquiring a corresponding digital time group Xi;
s5: calculating a first value Sy and a first value Se by using a calculation formula; the specific calculation formula is as follows:
where | denotes rounding;
s6: obtaining a first value Sy, a first value Se and a corresponding elevator Di, and selecting the elevator to be tested, wherein the specific selection process comprises the following steps:
s61: let i = Sy;
s62: acquiring a corresponding elevator Di, and marking the elevator Di as an elevator to be detected;
s63: let i = i + Sy; repeating the process of the step S62 to select the elevators to be detected until the number of the selected elevators to be detected is consistent with the number Tx of the elevators to be detected;
s64: if i + Sy is larger than Q and the number of correspondingly selected elevators to be detected does not reach the number Tx of elevators, the first selected elevator to be detected is removed, and the selection process of S61-S64 is repeated on the rest elevators Di until Tx elevators to be detected are selected;
s65: and obtaining the elevator group Cj, j =1.. Tx to be tested.
2. The elevator weight balance coefficient detection system of claim 1, wherein said data induction unit is further configured to transmit the deviation ratio Bs and the object under test to an enterprise information base, the object under test being a cooperative object elevator manufacturing enterprise; the enterprise information base receives and stores all tested objects and corresponding error ratios Bs transmitted by the data summarization unit in real time, the self-cleaning unit is used for self-cleaning the tested objects and the corresponding error ratios Bs, and the specific cleaning process is as follows:
SS01: firstly, integrating the loss ratios Bs of all unified tested objects according to the tested objects, wherein the specific integration step is to obtain the loss ratios Bs obtained by the last three times of measurement according to a timestamp, averaging the loss ratios Bs, and marking the average as a target loss ratio Mb; if the number of times is less than three, the treatment is not carried out, and the treatment is carried out after the treatment is carried out for three times;
and SS02: marking all tested objects with the loss ratios lower than Mb as the loss-of-credit objects;
SS03: acquiring all the information loss objects, and deleting other data of all the information loss objects after establishing an information loss table;
and (4) SS04: acquiring and storing the rest measured objects and the corresponding target error ratios Mb thereof;
the comprehensive dividing unit is used for acquiring the transaction times of a user at all tested objects, and the user is a user needing to order an elevator; and carrying out recommendation analysis on the tested object and the corresponding target error ratio Mb thereof by combining the transaction times, wherein the specific recommendation analysis steps are as follows:
s010: acquiring all tested objects and corresponding target error ratios Mb thereof, and marking the target error ratios Mb corresponding to the tested objects as Mbj, wherein j =1.. N, and n is less than Q;
s020: correspondingly marking the transaction times as Yj, j =1.. N, wherein Yj corresponds to Mbj one to one;
s030: calculating a selection value Yzj of the corresponding tested object according to a formula; yzj =0.635 Mbj +0.365 Yj;
s040: and sorting the selected values Yzj from large to small, and marking the tested objects ranked in the top three as recommended objects.
3. The elevator weight balance coefficient detection system of claim 2, wherein the recommendation unit is configured to transmit the recommendation object to the recommendation unit, the recommendation unit is a user intelligent portable device, and the recommendation unit receives the recommendation object transmitted by the integration and division unit, and stores and displays the recommendation object in real time.
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| US4034856A (en) * | 1975-12-12 | 1977-07-12 | Westinghouse Electric Corporation | Elevator system |
| CA2501003C (en) * | 2004-04-23 | 2009-05-19 | F. Hoffmann-La Roche Ag | Sample analysis to provide characterization data |
| CN100391821C (en) * | 2005-05-31 | 2008-06-04 | 安徽中科智能高技术有限责任公司 | Method for measuring balance coefficient of elevator |
| CN105956942B (en) * | 2016-05-12 | 2020-06-16 | 陕西瑞海电力工程有限公司 | Machine vision-based quality detection method and device for electric power pipe gallery reinforcing mesh |
| CN106755490A (en) * | 2017-01-23 | 2017-05-31 | 云南省烟草质量监督检测站 | A kind of junior tobacco leaf variety sampling Detection method based on DNA molecular marker |
| US10929471B2 (en) * | 2017-09-08 | 2021-02-23 | International Business Machines Corporation | Sequential pattern mining |
| CN108059048B (en) * | 2017-11-13 | 2020-05-19 | 西子电梯科技有限公司 | Detection early warning system and early warning method for elevator brake |
| CN108132914B (en) * | 2018-01-11 | 2021-04-27 | 中国工程物理研究院化工材料研究所 | High-confidence statistical inference and confirmation method for failure rate of limited number of product performances |
| CN110866691A (en) * | 2019-11-13 | 2020-03-06 | 国网上海市电力公司 | Staged and layered sampling method for isolated batch intelligent electric energy meters |
| CN111170110B (en) * | 2020-02-28 | 2021-04-30 | 深圳市通用互联科技有限责任公司 | Elevator data processing method, device, computer equipment and storage medium |
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