Intelligent operation and maintenance management and control method for production line

Abstract

The invention belongs to the technical field of production line intelligent operation and maintenance, and provides a production line intelligent operation and maintenance management and control method, which comprises the steps of monitoring pressure data of a detection area in a transmission process in real time in a current detection period, obtaining an area evaluation value based on analysis of the pressure data, marking and dividing the detection area, and obtaining a detection result; the method comprises the following steps of: marking and dividing a detection region into an abnormal detection region and a normal detection region, processing and analyzing the number of times of marking and dividing the detection region into the abnormal detection region in a plurality of detection periods, and marking the detection region into an overpressure region and a non-overpressure region, according to the method, the area evaluation value is obtained by processing and analyzing the pressure value of the detection area, and the detection results of the detection area in different detection periods are marked, so that maintenance personnel can conveniently judge the overpressure area.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent operation and maintenance of production lines, and specifically relates to an intelligent operation and maintenance control method for production lines. Background Art

[0002] In today's manufacturing industry, efficient and stable operation of production lines is crucial. With the intensification of market competition, companies need to continuously improve production efficiency, reduce costs, and improve product quality. Traditional production line operation and maintenance management methods often rely on manual inspections and experience-based judgments for maintenance. This method is inefficient and inaccurate, and it is difficult to meet the modern manufacturing industry's requirements for high reliability and high availability of production lines. Therefore, there is an urgent need for a more intelligent and efficient operation and maintenance management method to improve the overall performance of the production line.

[0003] A Chinese patent application with publication number CN118114170B discloses an intelligent operation and maintenance management method, control system and panel production line for a panel production line, including: fusing operation status information with corresponding standard operation status information to obtain fused data, calculating the covariance matrix of the standard fused data to obtain the covariance matrix, performing eigenvalue decomposition on the covariance matrix to obtain multiple eigenvector groups and eigenvalues ​​corresponding to each eigenvector group; sorting the multiple eigenvector groups in order of eigenvalues ​​from large to small, screening out the eigenvector groups in the column as target eigenvector groups, and inputting them into a trained abnormal state analysis model to obtain the operation status value for each target eigenvector group, and generating the state analysis result of the panel production line according to the operation status value, so as to reduce the analysis and processing time and computing power of the control system on the data, improve the processing efficiency of the control system, and ensure the normal operation of the production line.

[0004] However, the prior art lacks the judgment on which detection area of ​​the production line should be focused on for maintenance. Since the detection area is usually divided into multiple detection sections, focusing on the abnormal section in the detection section can speed up the maintenance of maintenance personnel.

[0005] To this end, the present invention provides a production line intelligent operation and maintenance control method. Summary of the invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve the technical problem is: a production line intelligent operation and maintenance control method, comprising:

[0008] Step 1: Divide the conveyor belt of the production line into multiple detection areas according to the conveyed items on the conveyor belt. In the current detection cycle, monitor the pressure data of the detection area during the transmission process in real time, wherein the pressure data includes the pressure value. Based on the analysis of the pressure data, the regional evaluation value PGZ is obtained;

[0009] Step 2: Based on the regional evaluation value PGZ, the detection area is marked and divided into abnormal detection area and normal detection area;

[0010] Step 3: In multiple detection cycles, the number of times the detection area is marked as an abnormal detection area is processed and analyzed to obtain a regional performance value BX, and the detection area is finally marked according to the regional performance value BX, and the detection area is marked as an overpressure area and a non-overpressure area;

[0011] Step 4: Obtain the corresponding overpressure sections each time the detection area corresponding to the overpressure area is marked as an abnormal detection area, process and analyze each overpressure section to obtain the overpressure stability value CW, and determine whether there is a stable overpressure section in the overpressure area based on the overpressure stability value CW. If so, perform key maintenance and inspection on the overpressure section corresponding to the overpressure area.

[0012] As a further solution of the present invention: the regional evaluation value PGZ is obtained in the following manner:

[0013] The length performance value SC and the degree performance value CD are processed by the formula: The regional evaluation value PGZ is obtained, where s1 and s2 are both preset proportional coefficients.

[0014] As a further solution of the present invention: the length representation value SC and the degree representation value CD are obtained as follows:

[0015] Obtain the length values ​​of each overpressure section in the detection area during the conveying process, sum them up, and obtain the total length of the overpressure section. Ratio the total length of the overpressure section to the total length of the conveyor belt to obtain the length performance value SC;

[0016] Obtain the pressure values ​​in each overpressure section of the detection area during the transmission process, sum and average them to obtain the pressure mean value in the overpressure section of the detection area, perform difference processing on the pressure mean value and the pressure standard value to obtain the pressure mean deviation, perform ratio processing on the pressure mean deviation and the pressure standard value to obtain the degree performance value CD.

[0017] As a further solution of the present invention: the detection area corresponding to the regional evaluation value PGZ is marked to obtain the marking result in the following manner:

[0018] Compare the regional evaluation value PGZ with the regional evaluation threshold;

[0019] If the regional evaluation value PGZ is greater than the regional evaluation threshold, the detection area corresponding to the regional evaluation value PGZ is marked as an abnormal detection area;

[0020] If the region evaluation value PGZ is less than or equal to the region evaluation threshold, the detection region corresponding to the region evaluation value PGZ is marked as a normal detection region.

[0021] As a further solution of the present invention: the method of obtaining the regional performance value BX is:

[0022] The obtained abnormal number detection ratio YC and abnormal degree detection ratio YD are processed, and the regional performance value BX is obtained through the formula: BX=z1*YC+z2*YD, where z1 and z2 are both preset proportional coefficients.

[0023] As a further solution of the present invention: the abnormality detection ratio YC and the abnormality degree detection ratio YD are obtained as follows:

[0024] Obtain the number of times the detection area is marked as an abnormal detection area and the number of times it is marked as a normal detection area within the detection period, sum the number of times the detection area is marked as an abnormal detection area and the number of times it is marked as a normal detection area within the detection period to obtain the total number of times the detection area is marked, perform ratio processing on the number of times the detection area is marked as an abnormal detection area within the detection period and the total number of times the detection area is marked to obtain an abnormal number detection ratio, and mark it as YC;

[0025] Get the regional evaluation value PGZ when the detection area is marked as an abnormal detection area, perform difference processing on the regional evaluation value PGZ and the regional evaluation threshold to obtain the regional evaluation difference, sum and average all the regional evaluation differences to obtain the regional evaluation difference mean, perform ratio processing on the regional evaluation difference mean and the regional evaluation threshold to obtain the abnormality degree detection ratio, and mark it as YD.

[0026] As a further solution of the present invention: the detection area corresponding to the area performance value BX is marked to obtain the marking result in the following manner:

[0027] comparing the region performance value BX with the region performance threshold;

[0028] If the regional performance value BX is greater than the regional performance threshold, the detection area corresponding to the regional performance value BX is marked as an overpressure area;

[0029] If the regional performance value BX is less than or equal to the regional performance threshold, the detection area corresponding to the regional performance value BX is marked as a non-overpressure area.

[0030] As a further solution of the present invention: the overpressure stability value CW is obtained in the following manner:

[0031] The obtained quantity deviation performance value SPC, position deviation performance value WPC and length deviation performance value CPC of the overpressure section are processed, and the overpressure stability value CW is calculated by the formula: CW=c1×SPC+c2×WPC+c3×CPC, where c1, c2 and c3 are preset proportional coefficients.

[0032] As a further solution of the present invention: the number deviation performance value SPC, the position deviation performance value WPC and the length deviation performance value CPC of the overpressure section are obtained as follows:

[0033] The starting end of the conveyor belt is taken as the origin, the conveying direction is the X-axis direction, and the conveying distance of the conveyor belt is used as the X-axis to construct the position coordinate axis;

[0034] When the detection area corresponding to the overpressure area is marked as an abnormal detection area, the corresponding coordinate values ​​of the two ends of each corresponding overpressure section on the position coordinate axis are obtained, and the midpoint value of the corresponding coordinate values ​​of the two ends of the overpressure section on the position coordinate axis is taken as the position coefficient of the overpressure section;

[0035] Based on the position coefficient of the overpressure section, the position set of each overpressure section corresponding to the overpressure area is constructed each time the detection area corresponding to the overpressure area is marked as an abnormal detection area, specifically: WC i = {D1, D2, D3...Dn}, where WC i represents the overpressure area corresponding to the sequence number i when the detection area corresponding to the overpressure area is marked as an abnormal detection area, and Dn represents the position coefficient corresponding to the overpressure section numbered n;

[0036] The detection area corresponding to the overpressure area is marked as an abnormal detection area for many times, and then multiple position sets are obtained. Based on any position set, the number of elements in each position set is counted to obtain the number of elements corresponding to the position set. The number of elements corresponding to all position sets is integrated into an element number data group, and the variance value of the element number data group is obtained to obtain the quantity deviation performance value of the overpressure section, which is marked as SPC.

[0037] Based on any position set, the position coefficients corresponding to each element in the position set are summed and averaged to obtain the position coefficient mean of the position set. The position coefficient means of all position sets are integrated into a position coefficient data group, and the variance value of the position coefficient data group is obtained to obtain the position deviation performance value of the overpressure section, which is marked as WPC.

[0038] When the detection area corresponding to the overpressure area is marked as an abnormal detection area, the length values ​​of the corresponding overpressure sections are summed up and averaged to obtain the mean length of the overpressure section. Each time the detection area corresponding to the overpressure area is marked as an abnormal detection area, the mean length of the overpressure section is integrated into a length mean data group, the variance value of the length mean data group is obtained, and the length deviation performance value of the overpressure section is obtained, which is marked as CPC.

[0039] As a further solution of the present invention: the method of obtaining the marking result by marking the overpressure section corresponding to the overpressure stability value CW is:

[0040] Compare the overpressure stability value CW with the threshold value:

[0041] If the overpressure stability value CW is less than the overpressure stability threshold, the overpressure section corresponding to the overpressure area is marked as a key maintenance section, and maintenance personnel need to be arranged for key maintenance;

[0042] If the overpressure stability value CW is greater than or equal to the overpressure stability threshold, the overpressure section corresponding to the overpressure area is marked as a non-key maintenance section.

[0043] The beneficial effects of the present invention are as follows:

[0044] 1. The conveyor belt of the production line is divided into multiple detection areas according to the conveyed items on the conveyor belt. In the current detection cycle, the pressure data of the detection area during the transmission process is monitored in real time, wherein the pressure data includes a pressure value. Based on the analysis of the pressure data, a regional evaluation value PGZ is obtained. Based on the regional evaluation value PGZ, the detection area is marked and divided, and the detection area is marked and divided into abnormal detection areas and normal detection areas. In multiple detection cycles, the number of times the detection area is marked and divided into abnormal detection areas is processed and analyzed to obtain a regional performance value BX. The detection area is finally marked according to the regional performance value BX, and the detection area is marked as an overpressure area and a non-overpressure area. The present invention obtains a regional evaluation value PGZ by processing and analyzing the pressure value of the detection area, and marks the detection results of the detection area in different detection cycles based on the regional evaluation value PGZ, thereby facilitating maintenance personnel to judge the overpressure area.

[0045] 2. Obtain the overpressure sections corresponding to the overpressure area each time the detection area corresponding to the overpressure area is marked as an abnormal detection area, process and analyze each overpressure section to obtain the overpressure stability value CW, and judge whether there is a stable overpressure section in the overpressure area according to the overpressure stability value CW; if so, perform key maintenance and overhaul on the overpressure section corresponding to the overpressure area. The present invention processes and analyzes the overpressure sections corresponding to the overpressure area each time the detection area corresponding to the overpressure area is marked as an abnormal detection area; if there is a stable overpressure section in the overpressure area, the overpressure section corresponding to the overpressure area is marked as a key overhaul section, and maintenance personnel are arranged to perform key overhaul. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The present invention will be further described below in conjunction with the accompanying drawings.

[0047] Figure 1 It is a flowchart of the steps of a production line intelligent operation and maintenance control method according to an embodiment of the present invention;

[0048] Figure 2 It is a flow chart of a method for obtaining a regional performance value BX of a production line intelligent operation and maintenance control method described in an embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0050] Example 1

[0051] like Figure 1 A production line intelligent operation and maintenance control method according to an embodiment of the present invention includes:

[0052] Step 1: Divide the conveyor belt of the production line into multiple detection areas according to the conveyed items on the conveyor belt. In the current detection cycle, monitor the pressure data of the detection area during the transmission process in real time, wherein the pressure data includes the pressure value. Based on the analysis of the pressure data, the regional evaluation value PGZ is obtained;

[0053] Specifically, the pressure value of the detection area during the transmission process is obtained, and compared with the pressure standard value, and the transmission section corresponding to the pressure value of the detection area during the transmission process being greater than the pressure standard value is marked as an overpressure section;

[0054] It should be noted that the pressure standard value is set in advance by those skilled in the art based on the specification data of the conveyor belt and the specification data of the conveyed items;

[0055] Acquiring performance data of the overpressure section, wherein the performance data includes a length performance value and a degree performance value;

[0056] The length performance value is marked as SC;

[0057] Mark the degree performance value as CD;

[0058] By formula: The regional evaluation value PGZ is obtained, where s1 and s2 are both preset proportional coefficients;

[0059] It should be noted that the meaning of the regional evaluation value PGZ is: the regional evaluation value PGZ is an analysis value for abnormal conditions in the current detection area. The greater the total length of all overpressure sections in the current detection area, the greater the length performance value, and the greater the possibility that the current detection area is an abnormal detection area; the greater the difference between the pressure mean value and the pressure standard value of each overpressure section in the detection area, the greater the degree performance value, and the greater the possibility that the current detection area is an abnormal detection area;

[0060] In a first exemplary embodiment, the length representation value SC is obtained as follows:

[0061] Obtain the length values ​​of each overpressure section in the detection area during the conveying process, sum them up, and obtain the total length of the overpressure section. Ratio the total length of the overpressure section to the total length of the conveyor belt to obtain the length performance value SC;

[0062] In a second exemplary embodiment, the degree performance value CD is obtained as follows:

[0063] Obtain the pressure values ​​in each overpressure section of the detection area during the transmission process, sum and average them, obtain the pressure mean value in the overpressure section of the detection area, perform difference processing on the pressure mean value and the pressure standard value, obtain the pressure mean deviation, perform ratio processing on the pressure mean deviation and the pressure standard value, obtain the degree performance value CD;

[0064] Step 2: Mark and divide the detection area based on the regional evaluation value PGZ, and divide the detection area corresponding to the regional evaluation value PGZ into an abnormal detection area and a normal detection area;

[0065] In some embodiments, the region evaluation value PGZ is compared with a region evaluation threshold;

[0066] If the regional evaluation value PGZ is greater than the regional evaluation threshold, the detection area corresponding to the regional evaluation value PGZ is marked as an abnormal detection area;

[0067] If the regional evaluation value PGZ is less than or equal to the regional evaluation threshold, the detection area corresponding to the regional evaluation value PGZ is marked as a normal detection area;

[0068] Step 3: In multiple detection cycles, the number of times the detection area is marked as an abnormal detection area is processed and analyzed to obtain a regional performance value BX, and the detection area is finally marked according to the regional performance value BX, and the detection area is marked as an overpressure area and a non-overpressure area;

[0069] Specifically, the number of times the detection area is marked as an abnormal detection area and the number of times the detection area is marked as a normal detection area within the detection period are obtained, the number of times the detection area is marked as an abnormal detection area and the number of times the detection area is marked as a normal detection area within the detection period are summed up to obtain the total number of times the detection area is marked, the number of times the detection area is marked as an abnormal detection area within the detection period is ratioed to the total number of times the detection area is marked to obtain an abnormal number detection ratio, and is marked as YC;

[0070] Obtain the regional evaluation value when the detection area is marked as an abnormal detection area, perform difference processing on the regional evaluation value and the regional evaluation threshold to obtain the regional evaluation difference, sum and average all the regional evaluation differences to obtain the mean regional evaluation difference, perform ratio processing on the mean regional evaluation difference and the regional evaluation threshold to obtain the abnormal degree detection ratio, and mark it as YD;

[0071] The obtained abnormal number detection ratio YC and abnormal degree detection ratio YD are processed, and the regional performance value BX is obtained by the formula: BX=z1*YC+z2*YD, where z1 and z2 are both preset proportional coefficients;

[0072] It should be noted that the meaning of the regional performance value BX is: within multiple detection cycles, the more times the corresponding detection area is marked as an abnormal detection area, and the higher the abnormality level when the corresponding detection area is marked as an abnormal detection area, the greater the possibility that the corresponding detection area is an overpressure area;

[0073] In some embodiments, the region performance value BX is compared to a region performance threshold value;

[0074] If the regional performance value BX is greater than the regional performance threshold, the detection area corresponding to the regional performance value BX is marked as an overpressure area;

[0075] If the regional performance value BX is less than or equal to the regional performance threshold, the detection area corresponding to the regional performance value BX is marked as a non-overpressure area;

[0076] The technical solution of an embodiment of the present invention is: the conveyor belt of the production line is divided into multiple detection areas according to the conveyed items on the conveyor belt, and in the current detection cycle, the pressure data of the detection area during the transmission process is monitored in real time, wherein the pressure data includes a pressure value, and a regional evaluation value is obtained based on the analysis of the pressure data, and the detection area is marked and divided based on the regional evaluation value, and the detection area is marked and divided into abnormal detection areas and normal detection areas. In multiple detection cycles, the number of times the detection area is marked and divided as an abnormal detection area is processed and analyzed to obtain a regional performance value BX, and the detection area is finally marked according to the regional performance value BX, and the detection area is marked as an overpressure area and a non-overpressure area. The present invention obtains a regional evaluation value by processing and analyzing the pressure value of the detection area, and marks the detection results of the detection area in different detection cycles based on the regional evaluation value, thereby facilitating maintenance personnel to judge the overpressure area.

[0077] Example 2

[0078] like Figure 2 As shown, based on Example 1, a production line intelligent operation and maintenance control method according to an embodiment of the present invention includes:

[0079] Step 4: Obtain the corresponding overpressure sections each time the detection area corresponding to the overpressure area is marked as an abnormal detection area, process and analyze each overpressure section to obtain the overpressure stability value CW, and determine whether there is a stable overpressure section in the overpressure area according to the overpressure stability value CW. If so, perform key maintenance and repair on the overpressure section corresponding to the overpressure area;

[0080] Specifically, the starting end of the conveyor belt is taken as the origin, the conveying direction is the X-axis direction, and the conveying distance of the conveyor belt is used as the X-axis to construct the position coordinate axis;

[0081] When the detection area corresponding to the overpressure area is marked as an abnormal detection area, the corresponding coordinate values ​​of the two ends of each corresponding overpressure section on the position coordinate axis are obtained, and the midpoint value of the corresponding coordinate values ​​of the two ends of the overpressure section on the position coordinate axis is taken as the position coefficient of the overpressure section;

[0082] Based on the position coefficient of the overpressure section, the position set of each overpressure section corresponding to the overpressure area is constructed each time the detection area corresponding to the overpressure area is marked as an abnormal detection area, specifically: WC i = {D1, D2, D3...Dn}, where WC i represents the overpressure area corresponding to the sequence number i when the detection area corresponding to the overpressure area is marked as an abnormal detection area, and Dn represents the position coefficient corresponding to the overpressure section numbered n;

[0083] The detection area corresponding to the overpressure area is marked as an abnormal detection area for many times, and then multiple position sets are obtained. Based on any position set, the number of elements in each position set is counted to obtain the number of elements corresponding to the position set. The number of elements corresponding to all position sets is integrated into an element number data group, and the variance value of the element number data group is obtained to obtain the quantity deviation performance value of the overpressure section, which is marked as SPC.

[0084] Based on any position set, the position coefficients corresponding to each element in the position set are summed and averaged to obtain the position coefficient mean of the position set. The position coefficient means of all position sets are integrated into a position coefficient data group, and the variance value of the position coefficient data group is obtained to obtain the position deviation performance value of the overpressure section, which is marked as WPC.

[0085] When the detection area corresponding to the overpressure area is marked as an abnormal detection area, the corresponding overpressure sections are obtained, and the length values ​​of each overpressure section are summed and averaged to obtain the length mean of the overpressure section. The length mean of the overpressure section when the detection area corresponding to the overpressure area is marked as an abnormal detection area each time is integrated into a length mean data group, and the variance value of the length mean data group is obtained to obtain the length deviation performance value of the overpressure section, and marked as CPC;

[0086] The obtained quantity deviation performance value SPC, position deviation performance value WPC and length deviation performance value CPC of the overpressure section are processed, and the overpressure stability value CW is calculated by the formula: CW = c1 × SPC + c2 × WPC + c3 × CPC, where c1, c2 and c3 are all preset proportional coefficients;

[0087] In some embodiments, the overpressure stabilization value CW is compared with a threshold value:

[0088] If the overpressure stability value CW is less than the overpressure stability threshold, the overpressure section corresponding to the overpressure area is marked as a key maintenance section, and maintenance personnel need to be arranged for key maintenance;

[0089] If the overpressure stability value CW is greater than or equal to the overpressure stability threshold, the overpressure section corresponding to the overpressure area is marked as a non-key maintenance section;

[0090] Based on the existence of stable overpressure sections in the overpressure area, when the overpressure area is inspected and maintained, the overpressure sections corresponding to the overpressure area are focused on inspection. Based on the absence of stable overpressure sections in the overpressure area, the overpressure area and the overpressure sections corresponding to the overpressure area are comprehensively inspected;

[0091] The technical solution of the embodiment of the present invention is: obtaining the corresponding overpressure sections each time the detection area corresponding to the overpressure area is marked as an abnormal detection area, processing and analyzing each overpressure section to obtain the overpressure stability value CW, and judging whether there is a stable overpressure section in the overpressure area according to the overpressure stability value CW; if so, performing key maintenance and overhaul on the overpressure section corresponding to the overpressure area. The present invention processes and analyzes the corresponding overpressure sections each time the detection area corresponding to the overpressure area is marked as an abnormal detection area; if there is a stable overpressure section in the overpressure area, the overpressure section corresponding to the overpressure area is marked as a key overhaul section, and maintenance personnel are arranged to perform key overhaul.

[0092] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A production line intelligent operation and maintenance control method, characterized by: include: Step 1: Divide the conveyor belt of the production line into multiple detection areas according to the conveyed items on the conveyor belt. In the current detection cycle, monitor the pressure data of the detection area during the transmission process in real time, wherein the pressure data includes the pressure value. Based on the analysis of the pressure data, the regional evaluation value PGZ is obtained; Step 2: Based on the regional evaluation value PGZ, the detection area is marked and divided into abnormal detection area and normal detection area; Step 3: In multiple detection cycles, the number of times the detection area is marked as an abnormal detection area is processed and analyzed to obtain a regional performance value BX, and the detection area is finally marked according to the regional performance value BX, and the detection area is marked as an overpressure area and a non-overpressure area; Step 4: Obtain the corresponding overpressure sections each time the detection area corresponding to the overpressure area is marked as an abnormal detection area, process and analyze each overpressure section to obtain the overpressure stability value CW, and determine whether there is a stable overpressure section in the overpressure area based on the overpressure stability value CW. If so, perform key maintenance and inspection on the overpressure section corresponding to the overpressure area.

2. The intelligent operation and maintenance control method of a production line according to claim 1, characterized in that: The regional evaluation value PGZ is obtained as follows: The length performance value SC and the degree performance value CD are processed by the formula: The regional evaluation value PGZ is obtained, where s1 and s2 are both preset proportional coefficients.

3. A production line intelligent operation and maintenance control method according to claim 2, characterized in that: The length representation value SC and the degree representation value CD are obtained as follows: Obtain the length values ​​of each overpressure section in the detection area during the conveying process, sum them up, and obtain the total length of the overpressure section. Ratio the total length of the overpressure section to the total length of the conveyor belt to obtain the length performance value SC; Obtain the pressure values ​​in each overpressure section of the detection area during the transmission process, sum and average them to obtain the pressure mean value in the overpressure section of the detection area, perform difference processing on the pressure mean value and the pressure standard value to obtain the pressure mean deviation, perform ratio processing on the pressure mean deviation and the pressure standard value to obtain the degree performance value CD.

4. The intelligent operation and maintenance control method of a production line according to claim 2, characterized in that: The method of obtaining the marking result by marking the detection area corresponding to the regional evaluation value PGZ is as follows: Compare the regional evaluation value PGZ with the regional evaluation threshold; If the regional evaluation value PGZ is greater than the regional evaluation threshold, the detection area corresponding to the regional evaluation value PGZ is marked as an abnormal detection area; If the region evaluation value PGZ is less than or equal to the region evaluation threshold, the detection region corresponding to the region evaluation value PGZ is marked as a normal detection region.

5. The intelligent operation and maintenance control method of a production line according to claim 1, characterized in that: The regional performance value BX is obtained as follows: The obtained abnormal number detection ratio YC and abnormal degree detection ratio YD are processed, and the regional performance value BX is obtained through the formula: BX=z1*YC+z2*YD, where z1 and z2 are both preset proportional coefficients.

6. A production line intelligent operation and maintenance control method according to claim 5, characterized in that: The abnormality detection ratio YC and the abnormality degree detection ratio YD are obtained as follows: Obtain the number of times the detection area is marked as an abnormal detection area and the number of times it is marked as a normal detection area within the detection period, sum the number of times the detection area is marked as an abnormal detection area and the number of times it is marked as a normal detection area within the detection period to obtain the total number of times the detection area is marked, perform ratio processing on the number of times the detection area is marked as an abnormal detection area within the detection period and the total number of times the detection area is marked to obtain an abnormal number detection ratio, and mark it as YC; Get the regional evaluation value PGZ when the detection area is marked as an abnormal detection area, perform difference processing on the regional evaluation value PGZ and the regional evaluation threshold to obtain the regional evaluation difference, sum and average all the regional evaluation differences to obtain the regional evaluation difference mean, perform ratio processing on the regional evaluation difference mean and the regional evaluation threshold to obtain the abnormality degree detection ratio, and mark it as YD.

7. The intelligent operation and maintenance control method of a production line according to claim 5, characterized in that: The method of obtaining the marking result by marking the detection area corresponding to the area performance value BX is as follows: comparing the region performance value BX with the region performance threshold; If the regional performance value BX is greater than the regional performance threshold, the detection area corresponding to the regional performance value BX is marked as an overpressure area; If the regional performance value BX is less than or equal to the regional performance threshold, the detection area corresponding to the regional performance value BX is marked as a non-overpressure area.

8. The intelligent operation and maintenance control method of a production line according to claim 1, characterized in that: The overpressure stability value CW is obtained as follows: The obtained quantity deviation performance value SPC, position deviation performance value WPC and length deviation performance value CPC of the overpressure section are processed, and the overpressure stability value CW is calculated by the formula: CW=c1×SPC+c2×WPC+c3×CPC, where c1, c2 and c3 are preset proportional coefficients.

9. A production line intelligent operation and maintenance control method according to claim 8, characterized in that: The number deviation performance value SPC, the position deviation performance value WPC and the length deviation performance value CPC of the overpressure section are obtained as follows: The starting end of the conveyor belt is taken as the origin, the conveying direction is the X-axis direction, and the conveying distance of the conveyor belt is used as the X-axis to construct the position coordinate axis; When the detection area corresponding to the overpressure area is marked as an abnormal detection area, the corresponding coordinate values ​​of the two ends of each corresponding overpressure section on the position coordinate axis are obtained, and the midpoint value of the corresponding coordinate values ​​of the two ends of the overpressure section on the position coordinate axis is taken as the position coefficient of the overpressure section; Based on the position coefficient of the overpressure section, the position set of each overpressure section corresponding to the overpressure area is constructed each time the detection area corresponding to the overpressure area is marked as an abnormal detection area, specifically: WC i = {D1, D2, D3...Dn}, where WC i represents the overpressure area corresponding to the sequence number i when the detection area corresponding to the overpressure area is marked as an abnormal detection area, and Dn represents the position coefficient corresponding to the overpressure section numbered n; The detection area corresponding to the overpressure area is marked as an abnormal detection area for many times, and then multiple position sets are obtained. Based on any position set, the number of elements in each position set is counted to obtain the number of elements corresponding to the position set. The number of elements corresponding to all position sets is integrated into an element number data group, and the variance value of the element number data group is obtained to obtain the quantity deviation performance value of the overpressure section, which is marked as SPC. Based on any position set, the position coefficients corresponding to each element in the position set are summed and averaged to obtain the position coefficient mean of the position set. The position coefficient means of all position sets are integrated into a position coefficient data group, and the variance value of the position coefficient data group is obtained to obtain the position deviation performance value of the overpressure section, which is marked as WPC. When the detection area corresponding to the overpressure area is marked as an abnormal detection area, the length values ​​of the corresponding overpressure sections are summed up and averaged to obtain the mean length of the overpressure section. Each time the detection area corresponding to the overpressure area is marked as an abnormal detection area, the mean length of the overpressure section is integrated into a length mean data group, the variance value of the length mean data group is obtained, and the length deviation performance value of the overpressure section is obtained, which is marked as CPC.

10. A production line intelligent operation and maintenance control method according to claim 8, characterized in that: The method for obtaining the marking result by marking the overpressure section corresponding to the overpressure stability value CW is as follows: Compare the overpressure stability value CW with the threshold value: If the overpressure stability value CW is less than the overpressure stability threshold, the overpressure section corresponding to the overpressure area is marked as a key maintenance section, and maintenance personnel need to be arranged for key maintenance; If the overpressure stability value CW is greater than or equal to the overpressure stability threshold, the overpressure section corresponding to the overpressure area is marked as a non-key maintenance section.

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