CN112598233A - Quality safety monitoring management system for powder metallurgy production - Google Patents
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Abstract
The invention discloses a quality safety monitoring and management system for powder metallurgy production, which comprises a prenatal detection module, a process evaluation module, a product evaluation module and a comprehensive evaluation module, the prenatal detection module is used for carrying out equipment detection before powder metallurgy production, the process evaluation module is used for evaluating the powder metallurgy production process, the product evaluation module is used for evaluating the product produced by powder metallurgy, the comprehensive evaluation module is used for comprehensively evaluating the powder metallurgy, the prenatal detection module comprises an ultrasonic image acquisition module, a crack judgment module, a maintenance notification module, a shot picture acquisition module, a gray level extraction module, a corrosion pixel selection module, an area ratio statistics module, an area ratio comparison module, a measurement error detection module, a measurement error comparison module and an error reference quantity calculation module.
Description
Technical Field
The invention relates to the field of powder metallurgy, in particular to a quality safety monitoring and management system for powder metallurgy production.
Background
Powder metallurgy is an industrial technology for preparing metal powder or metal materials, composite materials and various products by using metal powder (or a mixture of metal powder and nonmetal powder) as a raw material and performing forming and sintering. Powder metallurgy technology has been widely used in the fields of transportation, machinery, electronics, aerospace, weaponry, biology, new energy, information, nuclear industry, etc., and has become one of the most active branches of new material science. The powder metallurgy technology has a series of advantages of remarkable energy saving, material saving, excellent performance, high product precision, good stability and the like, and is very suitable for mass production. But the prior art lacks a technology for monitoring the safety of the powder metallurgy production quality.
Disclosure of Invention
The invention aims to provide a quality safety monitoring and management system and a quality safety monitoring and management method for powder metallurgy production, which aim to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme:
the utility model provides a quality safety monitoring management system for powder metallurgy production, the monitoring management system includes antenatal detection module, process evaluation module, product evaluation module and synthesizes evaluation module, antenatal detection module is used for carrying out equipment detection before powder metallurgy production, process evaluation module is used for assessing powder metallurgy production process, product evaluation module is used for assessing the product that powder metallurgy produced, synthesize evaluation module and be used for this time powder metallurgy carry out the comprehensive evaluation.
Preferably, the prenatal detection module comprises an ultrasonic image acquisition module, a crack judgment module, a maintenance notification module, a photographed image acquisition module, a gray level extraction module, a corrosion pixel selection module, an area ratio statistics module, an area ratio comparison module, a measurement error detection module, a measurement error comparison module and an error reference quantity calculation module, wherein the ultrasonic image acquisition module is used for acquiring an ultrasonic image of the pressure pipeline, the crack judgment module is used for judging whether a crack exists on the pressure pipeline according to the ultrasonic image and transmitting information to the maintenance notification module to maintain the pressure pipeline when the crack exists on the pressure pipeline, the photographed image acquisition module is used for acquiring a photographed image of the pressure pipeline, the gray level extraction module is used for extracting a gray level value of each pixel in the photographed image of the pressure pipeline, and the corrosion pixel selection module is used for comparing the gray level value of each pixel with a preset threshold value, selecting pixels with gray values larger than a preset threshold value as corrosion pixels, wherein the area ratio counting module is used for counting the area ratio of the corrosion pixels in a shot picture, the area ratio comparison module is used for comparing the area ratio with the fluctuation range of the area ratio threshold value, judging whether the pressure pipeline is in a dangerous state according to the comparison result, transmitting information to the overhaul notification module to overhaul the pressure pipeline when the pressure pipeline is judged to be in the dangerous state, the measurement error detection module is used for detecting the measurement errors of the pressure measurement instrument, the temperature measurement instrument and the quality measurement instrument, the measurement error comparison module is used for comparing the measurement errors detected by the measurement error detection module with the corresponding error threshold value, and transmitting information to the overhaul notification module to calibrate the corresponding measurement instrument when the measurement errors are larger than the corresponding error threshold value, the error reference quantity calculating module is used for calculating the error reference quantity according to the measuring errors under the condition that the measuring errors are respectively smaller than the corresponding error threshold values.
Preferably, the process evaluation module comprises a formula content acquisition module, a weight detection module, a weight comparison module, a weight adjustment module, a weight reference calculation module, a surface image acquisition module, an image division module, a weight statistics module, a weight comparison module and a mixed reference calculation module, wherein the formula content acquisition module is used for acquiring the formula content of the piece to be produced, the formula content comprises the type of powder, the weight range of each powder and the optimal weight of each powder, the weight detection module is used for detecting the actual weight of each powder adopted in the production, the weight comparison module is used for checking whether the actual weight of each powder adopted in the production is within the corresponding weight range, and transmitting information to the weight adjustment module to adjust the actual weight of each powder under the condition that the actual weight of the powder is not within the corresponding weight range So as to be within the respective weight part ranges, said weight part reference calculation module being adapted to calculate the weight part reference in case all actual weight parts of the powder are within their respective weight part ranges, the surface image acquisition module is used for acquiring surface images of the mixed powder and carrying out image preprocessing, the image dividing module equally divides the preprocessed image into n statistical regions, the weight part statistical module is used for selecting one powder and counting the weight part of the powder in each statistical region, the weight part comparison module is used for comparing the weight part of the selected powder in each statistical area with the average weight part, and transmits information to continue stirring the powder when there is a fluctuation range in the weight part of a certain statistical region out of the average weight part, the mixed reference amount calculation module calculates a mixed reference amount when the weight parts of each statistical section are within a fluctuation range of the average weight parts; the product evaluation module randomly extracts a plurality of products from the produced products to carry out scoring inspection on the products by experts, and takes the average score of the experts as a scoring reference quantity; the comprehensive evaluation module comprises a comprehensive evaluation reference quantity calculation module and a comprehensive evaluation reference quantity comparison module, the comprehensive evaluation reference quantity calculation module calculates a comprehensive evaluation reference quantity according to an error reference quantity, a weight reference quantity, a mixed reference quantity and a scoring reference quantity, and the comprehensive evaluation reference quantity comparison module compares the comprehensive evaluation reference quantity with a comprehensive evaluation reference threshold value and outputs evaluation on the safety quality of the secondary production.
A quality safety monitoring and management method for powder metallurgy production comprises the following steps:
step S1: detecting equipment before powder metallurgy production;
step S2: evaluating the powder metallurgy production process;
step S3: evaluating a product produced by powder metallurgy;
step S4: comprehensive evaluation of the secondary powder metallurgy.
Preferably, the step S1 further includes:
step S11: collecting an ultrasonic image of the pressure pipeline, judging whether the pressure pipeline has cracks or not according to the ultrasonic image, and turning to the step S12 if the pressure pipeline has no cracks; if the pressure pipeline has cracks, the pressure pipeline is immediately overhauled;
step S12: collecting a shot picture of a pressure pipeline, extracting a gray value of each pixel in the shot picture, comparing the gray value of each pixel with a preset threshold value, taking the pixel with the gray value larger than the preset threshold value as a corrosion pixel, obtaining the area ratio of the corrosion pixel in the shot picture, if the area ratio is smaller than the fluctuation range of the area ratio threshold value, turning to the step S13, if the area ratio is within the fluctuation range of the area ratio threshold value, transmitting the shot picture of the pressure pipeline to an expert for analysis, if the expert judges that the pressure pipeline is in a safe state, turning to the step S13, if the expert judges that the pressure pipeline is in a dangerous state, immediately overhauling the pressure pipeline, and if the area ratio is larger than the fluctuation range of the area ratio threshold value, immediately overhauling the pressure pipeline; the pressure pipeline is inspected before production, so that accidents caused by damage of the pressure pipeline are prevented;
step S13: measuring errors w1, w2 and w3 of the pressure measuring instrument, the temperature measuring instrument and the quality measuring instrument are respectively obtained, if the measuring errors w1, w2 and w3 are respectively smaller than corresponding error thresholds, an error reference quantity P is calculated to be w1+ w2+ w3, and if the measuring errors are larger than the corresponding error thresholds, the corresponding measuring instruments are calibrated. The method ensures that the measurement error of a corresponding measuring instrument is within an acceptance range, not only ensures the safety during powder metallurgy processing, but also ensures the full reaction of powder during metallurgy production, thereby producing high-quality products.
Preferably, the step S2 further includes:
step S21: obtaining the formula content of the piece to be produced, wherein the formula content comprises the types of the powder, the weight part range of each powder and the optimal weight part of each powder, the number of the types of the powder is m,
checking whether the actual parts by weight of each powder employed in the production are within its respective parts by weight range, and if there is some powder whose actual parts by weight are not within its respective parts by weight range, adjusting the actual parts by weight of such powder to be within its respective parts by weight range,
calculating a parts by weight reference if the actual parts by weight of all powders are within their respective parts by weight rangesWherein i represents the ith powder, Di represents the actual weight part of the ith powder, and Ci represents the optimal weight part of the ith powder. During production, firstly, the powder participating in the production reaction is ensured to be in the range of a formula by weight so as to ensure that the required product can be produced smoothly, and the optimal weight part ensures that the effect performance of the produced product is optimal;
step S22: mixing and stirring the powder in the step S21, collecting the surface image of the mixed powder and carrying out image preprocessing, averagely dividing the image into n statistical zones, selecting one of the powder a in the formula content, setting the weight part of the powder a as Ea, counting the weight part of the powder a in each statistical zone, comparing the weight part of the powder a in each statistical zone with the average weight part Ea/n, and if the weight part of the powder a in each statistical zone is in the fluctuation range of the average weight part Ea/n, calculating the mixing reference amountWherein j represents the jth statistical zone, Ej represents the weight part of the powder a in the jth statistical zone, and if the weight part of a certain statistical zone in which the powder a exists is not within the fluctuation range of the average weight part Ea/n, the powder is continuously stirred. When the powder is mixed and stirred sufficiently, the production reaction is more sufficient, and the performance effect of the produced product is better;
preferably, the step S3 further includes:
randomly extracting a plurality of products from the produced products to give a score to an expert for a test, wherein 100% represents that the quality effect of the product is poor, 0% represents that the quality effect of the product is good, counting the average score of the products tested by the expert, and taking the average score as a score reference T.
Preferably, the step S4 further includes:
calculating the comprehensive evaluation reference quantity Z ═ P + Q + R + T,
when the comprehensive evaluation reference quantity is less than or equal to the comprehensive evaluation reference threshold value, the production safety quality of the time is high;
when the comprehensive evaluation reference quantity is larger than the comprehensive evaluation reference threshold value, the production safety quality of the time is low, improvement is needed, and the quality of the produced product is improved.
Compared with the prior art, the invention has the beneficial effects that: the invention evaluates and produces the product through the preparation of the instrument before production, the production process and the evaluation of the produced product, and is beneficial to knowing the quality, the effect and the performance of the product, thereby carrying out the subsequent targeted improvement.
Drawings
FIG. 1 is a schematic block diagram of a quality safety monitoring and management system for powder metallurgy production according to the present invention;
fig. 2 is a schematic flow chart of a quality safety monitoring and management method for powder metallurgy production according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, 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.
Referring to fig. 1-2, in an embodiment of the present invention, a quality safety monitoring management system for powder metallurgy production includes a pre-production detection module, a process evaluation module, a product evaluation module, and a comprehensive evaluation module, where the pre-production detection module is configured to perform equipment detection before powder metallurgy production, the process evaluation module is configured to evaluate a powder metallurgy production process, the product evaluation module is configured to evaluate a product produced by powder metallurgy, and the comprehensive evaluation module is configured to perform comprehensive evaluation on the powder metallurgy at this time.
Preferably, the prenatal detection module comprises an ultrasonic image acquisition module, a crack judgment module, a maintenance notification module, a photographed image acquisition module, a gray level extraction module, a corrosion pixel selection module, an area ratio statistics module, an area ratio comparison module, a measurement error detection module, a measurement error comparison module and an error reference quantity calculation module, wherein the ultrasonic image acquisition module is used for acquiring an ultrasonic image of the pressure pipeline, the crack judgment module is used for judging whether a crack exists on the pressure pipeline according to the ultrasonic image and transmitting information to the maintenance notification module to maintain the pressure pipeline when the crack exists on the pressure pipeline, the photographed image acquisition module is used for acquiring a photographed image of the pressure pipeline, the gray level extraction module is used for extracting a gray level value of each pixel in the photographed image of the pressure pipeline, and the corrosion pixel selection module is used for comparing the gray level value of each pixel with a preset threshold value, selecting pixels with gray values larger than a preset threshold value as corrosion pixels, wherein the area ratio counting module is used for counting the area ratio of the corrosion pixels in a shot picture, the area ratio comparison module is used for comparing the area ratio with the fluctuation range of the area ratio threshold value, judging whether the pressure pipeline is in a dangerous state according to the comparison result, transmitting information to the overhaul notification module to overhaul the pressure pipeline when the pressure pipeline is judged to be in the dangerous state, the measurement error detection module is used for detecting the measurement errors of the pressure measurement instrument, the temperature measurement instrument and the quality measurement instrument, the measurement error comparison module is used for comparing the measurement errors detected by the measurement error detection module with the corresponding error threshold value, and transmitting information to the overhaul notification module to calibrate the corresponding measurement instrument when the measurement errors are larger than the corresponding error threshold value, the error reference quantity calculating module is used for calculating the error reference quantity according to the measuring errors under the condition that the measuring errors are respectively smaller than the corresponding error threshold values.
Preferably, the process evaluation module comprises a formula content acquisition module, a weight detection module, a weight comparison module, a weight adjustment module, a weight reference calculation module, a surface image acquisition module, an image division module, a weight statistics module, a weight comparison module and a mixed reference calculation module, wherein the formula content acquisition module is used for acquiring the formula content of the piece to be produced, the formula content comprises the type of powder, the weight range of each powder and the optimal weight of each powder, the weight detection module is used for detecting the actual weight of each powder adopted in the production, the weight comparison module is used for checking whether the actual weight of each powder adopted in the production is within the corresponding weight range, and transmitting information to the weight adjustment module to adjust the actual weight of each powder under the condition that the actual weight of the powder is not within the corresponding weight range So as to be within the respective weight part ranges, said weight part reference calculation module being adapted to calculate the weight part reference in case all actual weight parts of the powder are within their respective weight part ranges, the surface image acquisition module is used for acquiring surface images of the mixed powder and carrying out image preprocessing, the image dividing module equally divides the preprocessed image into n statistical regions, the weight part statistical module is used for selecting one powder and counting the weight part of the powder in each statistical region, the weight part comparison module is used for comparing the weight part of the selected powder in each statistical area with the average weight part, and transmits information to continue stirring the powder when there is a fluctuation range in the weight part of a certain statistical region out of the average weight part, the mixed reference amount calculation module calculates a mixed reference amount when the weight parts of each statistical section are within a fluctuation range of the average weight parts; the product evaluation module randomly extracts a plurality of products from the produced products to carry out scoring inspection on the products by experts, and takes the average score of the experts as a scoring reference quantity; the comprehensive evaluation module comprises a comprehensive evaluation reference quantity calculation module and a comprehensive evaluation reference quantity comparison module, the comprehensive evaluation reference quantity calculation module calculates a comprehensive evaluation reference quantity according to an error reference quantity, a weight reference quantity, a mixed reference quantity and a scoring reference quantity, and the comprehensive evaluation reference quantity comparison module compares the comprehensive evaluation reference quantity with a comprehensive evaluation reference threshold value and outputs evaluation on the safety quality of the secondary production.
A quality safety monitoring and management method for powder metallurgy production comprises the following steps:
step S1: equipment detection before powder metallurgy production:
step S11: collecting an ultrasonic image of the pressure pipeline, judging whether the pressure pipeline has cracks or not according to the ultrasonic image, and turning to the step S12 if the pressure pipeline has no cracks; if the pressure pipeline has cracks, the pressure pipeline is immediately overhauled;
step S12: collecting a shot picture of a pressure pipeline, extracting a gray value of each pixel in the shot picture, comparing the gray value of each pixel with a preset threshold value, taking the pixel with the gray value larger than the preset threshold value as a corrosion pixel, obtaining the area ratio of the corrosion pixel in the shot picture, if the area ratio is smaller than the fluctuation range of the area ratio threshold value, turning to the step S13, if the area ratio is within the fluctuation range of the area ratio threshold value, transmitting the shot picture of the pressure pipeline to an expert for analysis, if the expert judges that the pressure pipeline is in a safe state, turning to the step S13, if the expert judges that the pressure pipeline is in a dangerous state, immediately overhauling the pressure pipeline, and if the area ratio is larger than the fluctuation range of the area ratio threshold value, immediately overhauling the pressure pipeline;
step S13: measuring errors w1, w2 and w3 of the pressure measuring instrument, the temperature measuring instrument and the quality measuring instrument are respectively obtained, if the measuring errors w1, w2 and w3 are respectively smaller than corresponding error thresholds, an error reference quantity P is calculated to be w1+ w2+ w3, and if the measuring errors are larger than the corresponding error thresholds, the corresponding measuring instruments are calibrated. In actual calculation, corresponding adjusting parameters g1, g2 and g3 can be set in the measurement errors w1, w2 and w3, so that the error reference quantity P is g1 w1+ g2 w2+ g3 w3, thereby further improving the rationality of the error reference quantity;
step S2: evaluation of powder metallurgy production process:
step S21: obtaining the formula content of the piece to be produced, wherein the formula content comprises the types of the powder, the weight part range of each powder and the optimal weight part of each powder, the number of the types of the powder is m,
checking whether the actual parts by weight of each powder employed in the production are within its respective parts by weight range, and if there is some powder whose actual parts by weight are not within its respective parts by weight range, adjusting the actual parts by weight of such powder to be within its respective parts by weight range,
calculating a parts by weight reference if the actual parts by weight of all powders are within their respective parts by weight rangesWherein i represents the ith powder, Di represents the actual weight part of the ith powder, and Ci represents the optimal weight part of the ith powder.
Step S22: mixing and stirring the powder in the step S21, collecting the surface image of the mixed powder and carrying out image preprocessing, averagely dividing the image into n statistical zones, selecting one of the powder a in the formula content, setting the weight part of the powder a as Ea, counting the weight part of the powder a in each statistical zone, comparing the weight part of the powder a in each statistical zone with the average weight part Ea/n, and if the weight part of the powder a in each statistical zone is in the fluctuation range of the average weight part Ea/n, calculating the mixing reference amountWherein j represents the jth statistical zone, Ej represents the weight part of the powder a in the jth statistical zone, and if the weight part of a certain statistical zone in which the powder a exists is not within the fluctuation range of the average weight part Ea/n, the powder is continuously stirred.
Step S3: evaluation of powder metallurgically produced product: randomly extracting a plurality of products from the produced products to give a score to an expert for a test, wherein 100% represents that the quality effect of the product is poor, 0% represents that the quality effect of the product is good, counting the average score of the products tested by the expert, and taking the average score as a score reference T.
Step S4: comprehensive evaluation of the secondary powder metallurgy:
calculating the comprehensive evaluation reference quantity Z ═ P + Q + R + T,
when the comprehensive evaluation reference quantity is less than or equal to the comprehensive evaluation reference threshold value, the production safety quality of the time is high;
when the comprehensive evaluation reference quantity is larger than the comprehensive evaluation reference threshold value, the production safety quality of the time is low, and improvement is needed. In the actual process of calculating the comprehensive evaluation reference quantity, corresponding adjustment parameters can be set, so that the comprehensive evaluation reference quantity Z is Z1P + Z2Q + Z3R + Z4T, and the rationality of the comprehensive evaluation reference quantity is further improved.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (4)
1. The utility model provides a quality safety monitoring management system for powder metallurgy production which characterized in that: the monitoring management system comprises a prenatal detection module, a process evaluation module, a product evaluation module and a comprehensive evaluation module, wherein the prenatal detection module is used for carrying out equipment detection before powder metallurgy production, the process evaluation module is used for evaluating the powder metallurgy production process, the product evaluation module is used for evaluating products produced by powder metallurgy, and the comprehensive evaluation module is used for carrying out comprehensive evaluation on the powder metallurgy of the time;
the monitoring management method comprises the following steps:
step S1: detecting equipment before powder metallurgy production;
step S2: evaluating the powder metallurgy production process;
step S3: evaluating a product produced by powder metallurgy;
step S4: comprehensive evaluation of the secondary powder metallurgy;
the step S1 further includes:
step S11: collecting an ultrasonic image of the pressure pipeline, judging whether the pressure pipeline has cracks or not according to the ultrasonic image, and turning to the step S12 if the pressure pipeline has no cracks; if the pressure pipeline has cracks, the pressure pipeline is immediately overhauled;
step S12: collecting a shot picture of a pressure pipeline, extracting a gray value of each pixel in the shot picture, comparing the gray value of each pixel with a preset threshold value, taking the pixel with the gray value larger than the preset threshold value as a corrosion pixel, obtaining the area ratio of the corrosion pixel in the shot picture, if the area ratio is smaller than the fluctuation range of the area ratio threshold value, turning to the step S13, if the area ratio is within the fluctuation range of the area ratio threshold value, transmitting the shot picture of the pressure pipeline to an expert for analysis, if the expert judges that the pressure pipeline is in a safe state, turning to the step S13, if the expert judges that the pressure pipeline is in a dangerous state, immediately overhauling the pressure pipeline, and if the area ratio is larger than the fluctuation range of the area ratio threshold value, immediately overhauling the pressure pipeline;
step S13: measuring errors w1, w2 and w3 of the pressure measuring instrument, the temperature measuring instrument and the quality measuring instrument are respectively obtained, if the measuring errors w1, w2 and w3 are respectively smaller than corresponding error thresholds, an error reference quantity P is calculated to be w1+ w2+ w3, and if the measuring errors are larger than the corresponding error thresholds, the corresponding measuring instruments are calibrated.
2. The quality safety monitoring and management system for powder metallurgy production according to claim 1, characterized in that: the step S2 further includes:
step S21: obtaining the formula content of the piece to be produced, wherein the formula content comprises the types of the powder, the weight part range of each powder and the optimal weight part of each powder, the number of the types of the powder is m,
checking whether the actual parts by weight of each powder employed in the production are within its respective parts by weight range, and if there is some powder whose actual parts by weight are not within its respective parts by weight range, adjusting the actual parts by weight of such powder to be within its respective parts by weight range,
calculating a parts by weight reference if the actual parts by weight of all powders are within their respective parts by weight rangesWherein i represents the ith powder, Di represents the actual weight part of the ith powder, and Ci represents the optimal weight part of the ith powder;
step S22: mixing and stirring the powder in the step S21, collecting the surface image of the mixed powder and carrying out image preprocessing, averagely dividing the image into n statistical zones, selecting one of the powder a in the formula content, setting the weight part of the powder a as Ea, counting the weight part of the powder a in each statistical zone, comparing the weight part of the powder a in each statistical zone with the average weight part Ea/n, and if the weight part of the powder a in each statistical zone is in the fluctuation range of the average weight part Ea/n, calculating the mixing reference amountWherein j represents the jth statistical zone, Ej represents the weight part of the powder a in the jth statistical zone, and if the weight part of a certain statistical zone in which the powder a exists is not within the fluctuation range of the average weight part Ea/n, the powder is continuously stirred.
3. The quality safety monitoring and management system for powder metallurgy production according to claim 2, characterized in that: the step S3 further includes:
randomly extracting a plurality of products from the produced products to give a score to an expert for a test, wherein 100% represents that the quality effect of the product is poor, 0% represents that the quality effect of the product is good, counting the average score of the products tested by the expert, and taking the average score as a score reference T.
4. The quality safety monitoring and management system for powder metallurgy production according to claim 3, characterized in that: the step S4 further includes:
calculating the comprehensive evaluation reference quantity Z ═ P + Q + R + T,
when the comprehensive evaluation reference quantity is less than or equal to the comprehensive evaluation reference threshold value, the production safety quality of the time is high;
when the comprehensive evaluation reference quantity is larger than the comprehensive evaluation reference threshold value, the production safety quality of the time is low, and improvement is needed.
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