Data transmission control system for hemodialysis water treatment equipment

Abstract

The invention discloses a data transmission control system for hemodialysis water treatment equipment, and relates to the field of data transmission control, and the data transmission control system comprises a data acquisition module, a raw water module, an early warning module and a control module. The method comprises the following steps of: obtaining raw water virus treatment complexity, analyzing the raw water virus treatment complexity with a raw water physical property deviation value, a raw water micropopulation homogeneity value and a heavy metal ion content to obtain a raw water comprehensive heterogeneity deviation value, judging a water treatment comprehensive state, obtaining a water treatment comprehensive heterogeneity level value, comparing and analyzing the water treatment comprehensive heterogeneity level value with a set comparison interval, and sending out corresponding early warning treatment. The water pump rotating speed demand state is analyzed, and the water pump rotating speeds in the raw water inlet link, the reverse osmosis link and the dialysis water conveying link are subjected to matching control, so that the equipment maintenance cost can be reduced, and the occurrence rate of medical accidents is reduced.

Description

Technical Field

[0001] The present invention relates to the field of data transmission control, in particular to a data transmission control system for hemodialysis water treatment equipment. Background Art

[0002] The continuous expansion of hospital scale and the decentralized distribution of hospital equipment, as well as the pursuit of equipment cost-effectiveness and timely maintenance, have made the management of water treatment equipment in hemodialysis a key issue. At the same time, with the continuous application of hemodialysis technology in kidney diseases, the quality requirements for hemodialysis water are getting higher and higher, and traditional manual monitoring and simple control can no longer meet the needs of water quality and equipment management, which has led to the birth of data transmission control systems for hemodialysis water treatment equipment.

[0003] However, in the operation of the existing data transmission control system for hemodialysis water treatment equipment, it is impossible to accurately analyze the status of the raw water in the water intake link, the treated pure water and the treatment equipment from multiple angles, and it is also impossible to make timely judgments and early warnings on the water treatment status, and it is even more impossible to accurately control the speed of the water pump, which greatly increases the cost of equipment maintenance and increases the incidence of medical accidents.

[0004] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0005] In order to solve the technical problems raised by the above background technology, the present invention is proposed. An embodiment of the present invention provides a data transmission control system for a hemodialysis water treatment device.

[0006] The purpose of the present invention can be achieved through the following technical solution: a data transmission control system for hemodialysis water treatment equipment includes a data acquisition module, a raw water module, an early warning module and a control module.

[0007] The data acquisition module is used to collect raw water information, pure water information and processing equipment information, and send it to the raw water module and the early warning module;

[0008] The raw water module is used to determine and analyze the virus structure, physical properties, heavy metal content, microbial richness and uniformity of the raw water to obtain the raw water comprehensive deviation value and send it to the early warning module and the control module;

[0009] The early warning module is used to receive pure water information, treatment equipment information and raw water comprehensive deviation value, determine the comprehensive status of water treatment, and issue corresponding early warning processing;

[0010] The control module is used to analyze the demand state of the water pump speed, and to match and control the water pump speeds of the raw water inlet link, the reverse osmosis link, and the dialysis water delivery link.

[0011] Furthermore, the steps of analyzing the raw water anomaly deviation are as follows:

[0012] Obtain the raw water property deviation, raw water microorganism group rich average difference, and heavy metal ion content from the raw water information of the water intake link, mark them as wxp, fjy, and zjs respectively, and normalize them with the complexity of the raw water virus Fzd, and substitute them into the set formula Calculation is performed to obtain the raw water comprehensive deviation value ZYZ, where h1, h2, h3 and h4 are all set proportional factor coefficients.

[0013] Furthermore, the steps for analyzing the average value of raw water microorganisms are as follows:

[0014] The classification information of raw water microorganisms in the water intake link was obtained through gene sequencing and microbial identification methods, and the relationships between microbial species, including symbiosis, predation and competition, were obtained through the database. Different microbial species were used as nodes in the network, and the relationships between species were used as edges connecting nodes. The symbiotic relationship was represented by a solid line, the predation direction was represented by an arrow, and the competition was represented by a dotted line. The network model was constructed according to the formula JM j =2e j / [(lj j -1)×lj j ], get the connection tightness value JM of node j j , where e j refers to the number of edges between neighboring nodes of node j, where lj j It refers to the number of neighboring nodes of node j. The connection density value of the entire network is averaged to obtain the raw water microorganism connection density value. The node degree of each microorganism in the network is obtained and the average is taken to obtain the raw water microorganism node value. The raw water microorganism connection density value and the raw water microorganism node value are added to obtain the raw water microorganism richness value. The number of connected components, the average path length, and the average diameter in the network are obtained and added to obtain the raw water microorganism average difference value, where the number of connected components refers to the number of the largest subset of interconnected nodes in the network, the average path length refers to the average value of the shortest path length between all node pairs in the network, and the average diameter refers to the maximum value of the shortest path between any two nodes in the network. The raw water microorganism richness value and the raw water microorganism average difference value are added to obtain the raw water microorganism group richness average difference value.

[0015] Furthermore, the steps of complexity analysis of raw water virus are as follows:

[0016] Step 6: The raw water in the water inlet link is heated from low temperature T1 to high temperature T2 at a certain interval temperature ΔT. The virus capsid structure information of the raw water at different temperatures is obtained through an electron microscope. When the shape change of part of the symmetry axis of the virus capsid exceeds a certain proportion of the original shape, the corresponding virus capsid undergoes obvious deformation. The temperature at this time is obtained and marked as the raw water virus deformation temperature threshold. The raw water in the water inlet link is changed from acidic pH to high pH. min To alkaline pH max , the pH adjustment experiment is carried out at a certain interval of ΔpH value, and the fluorescent labeled antibody is combined with the antigen site on the capsid, and the intensity change of the fluorescent signal is observed through a fluorescence microscope. When the intensity of the fluorescent signal is weakened to a certain proportion of the original, it is determined that the virus capsid is significantly damaged, and the significantly damaged pH value is obtained, which is marked as the raw water virus damage threshold. The raw water in the water inlet link is changed from low osmotic pressure DS min To high osmotic pressure DS max , an osmotic pressure change experiment is performed at a certain interval ΔDS, and the fluorescently labeled antibody is combined with the nucleic acid in the capsid, and the fluorescent signal is monitored by the fluorescently labeled nucleic acid probe. When the fluorescent signal is enhanced to twice the background signal, it is determined that the virus capsid begins to rupture, and the osmotic pressure value at the beginning of rupture is obtained, which is marked as the raw water virus osmotic pressure threshold;

[0017] Step 7: Calculate the raw water virus complexity Fzd by combining the raw water virus deformation temperature threshold, raw water virus acid loss threshold and raw water virus penetration threshold with the raw water virus structure difference value Dyz.

[0018] Furthermore, the steps for analyzing the difference value of the virus structure of the raw water are as follows:

[0019] Step 5: The number of elements in the symmetric operation group and the operation subgroup is marked as the order of the symmetric operation group and the operation subgroup. The order of each operation subgroup is added to get the total sub-order, and the number of subgroups verified in step 4 is obtained. The order of the symmetric operation group, the total sub-order, the number of subgroups verified, and the mean of the subgroup structure difference are marked as qjs, zzj, zqs, and zjy, respectively, and normalized according to the set formula Calculations are performed to obtain the virus structure difference value Dyz of the raw water, where a1, a2, a3, and a4 are all set influencing factor coefficients, and e is a natural constant.

[0020] Furthermore, the subgroup structure difference mean analysis steps are as follows:

[0021] Step 4: If the verification set in step 3 fails, the rotation operation, reflection operation and translation operation are divided into rotation subsets, reflection subsets and translation subsets respectively. The subsets that pass the verification are verified to satisfy the closure, associative law, the existence of identity element and the inverse element of each element. The subgroups are defined as G1 and G2. The G1 group is decomposed into irreducible ρ1, where Where i is the number of the irreducible representation after the decomposition of the group representation of the traversed subgroup G1, i = 1, 2, ..., w1, ρli represents the i-th irreducible representation after the decomposition of the subgroup G1, m1i represents the multiplicity of the i-th irreducible representation, and the G2 group is decomposed into irreducible ρ2 in the same way, where According to the formula CY = |w1-w2| / max(w1, w2), the quantitative difference value CY between subgroups G1 and G2 is obtained, where max(w1, w2) refers to the maximum value of w1 and w2. According to the formula The dimensional difference value WY between subgroups G1 and G2 is obtained. dli and dlj are the dimensions of the irreducible representations ρ1i and ρ2j respectively, where the dimension is the number of basis vectors in the corresponding vector space. The quantity difference value and dimensional difference value between subgroups G1 and G2 are weighted and multiplied by the corresponding weight factor coefficient to obtain the structural difference value between subgroups G1 and G2. Repeat the above steps to calculate the structural difference values ​​between each subgroup, and take the average value, which is marked as the subgroup structural difference mean.

[0022] Furthermore, the steps of analyzing the symmetric operation group are as follows:

[0023] Step 1: Use an electron microscope to obtain the virus capsid structure information of the raw water in the water intake link, and obtain the three-dimensional structure data of the virus capsid through the structure, and use rotation operation, reflection operation and translation operation respectively to determine whether the capsid can keep itself overlapped. The rotation operation means that the capsid structure remains unchanged after rotating around a certain axis by a certain angle, the reflection operation means that the capsid structure remains unchanged after reflecting through a certain plane, and the translation operation means that the structure remains unchanged after translating a certain distance along the spiral axis;

[0024] Step 2: Record the parameters corresponding to each symmetry operation. The parameters of the rotation operation are the unit direction vector and rotation angle of the rotation axis in the three-dimensional space. The parameters of the reflection operation are the equation of the reflection plane, which is determined by the normal vector of the plane and the coordinates of a point. The parameters of the translation operation are the displacement in the three-dimensional space.

[0025] Step 3: All identified symmetry operations form a set, and verify whether the set satisfies closure, associativity, the existence of an identity element, and that each element has an inverse element. If all of the verifications are met, the set corresponds to a symmetry operation group, where closure means that the new group of any two symmetry operations in the set is also a symmetry operation, associativity means that for any three symmetry operations d, e, and f in the set, (d×e)×f=d×(e×f) can be satisfied, the existence of an identity element means that there is an element in the set that does not perform any operation, and the operation is not changed after being combined with any symmetry operation, which is marked as the identity element, and each element has an inverse element means that for each symmetry operation, there is a reverse operation, which is combined with the original operation to obtain the identity element.

[0026] Furthermore, the corresponding warning processing steps are as follows:

[0027] If the comprehensive abnormality level value of water treatment is in the comparison interval QW1, the corresponding comprehensive state of water treatment is normal; if the comprehensive abnormality level value of water treatment is in the comparison interval QW2, the corresponding comprehensive state of water treatment is slightly abnormal, and an alarm is issued, corresponding to treatment measure one; if the comprehensive abnormality level value of water treatment is in the comparison interval QW3, the corresponding comprehensive state of water treatment is moderately abnormal, and an alarm is issued, corresponding to treatment measure two; if the comprehensive abnormality level value of water treatment is in the comparison interval QW4, the corresponding comprehensive state of water treatment is severely abnormal, and an alarm is issued, corresponding to treatment measure three.

[0028] Furthermore, the steps of water treatment comprehensive abnormality level value are as follows:

[0029] Obtain the excess value of pure water microchemicals in the treated pure water information, the pre-treatment fault value and the post-treatment fault value in the treatment equipment information, mark them as csw, ysg and hcl respectively, and normalize them with the raw water comprehensive deviation value ZYZ according to the set formula The comprehensive abnormality level value SYJ of water treatment is obtained, wherein tc1, tc2 and tc3 are preset influencing factor coefficients, and the specific values ​​are determined by technical personnel in this professional field, λ1 and λ2 are set correction factor coefficients, wherein λ1>λ2, and xjl refers to the desalination volatility value of the reverse osmosis membrane.

[0030] Furthermore, the steps of matching and controlling the water pump speed are as follows:

[0031] Real-time monitoring of the amount of water in the pure water tank sQ, the daily pure water demand for hemodialysis in the hospital xQ, and the average number of times the water treatment comprehensive state is slightly abnormal, the water treatment comprehensive state is moderately abnormal, and the water treatment comprehensive state is severely abnormal in the history within one month, marked as QY, ZY and ZY, and compared with the raw water comprehensive deviation ZYZ, according to the formula Get the required speed value XZZ of the pump in the raw water inlet link, reverse osmosis link, and dialysis water delivery link 1，2，3 , where g1, g2, g3, g4 and g5 are all set weight factor coefficients, and g1 <g2<g3,ρ 1，2，3 It corresponds to the water pump speed correction factor coefficient of the raw water inlet link, reverse osmosis link, and dialysis water delivery link; the water pump speeds of the raw water inlet link, reverse osmosis link, and dialysis water delivery link are matched with corresponding speed values ​​according to their respective water pump speed demand values, and operate according to the matched speed values.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] 1. The present invention determines and analyzes the virus structure, physical properties, heavy metal content, microbial richness and uniformity of raw water to obtain the raw water virus deformation temperature threshold, raw water virus acid loss threshold, raw water virus penetration threshold and raw water virus structure difference value, and analyzes to obtain the raw water virus complexity, and analyzes with the raw water physical property deviation, raw water microorganism group rich average difference value, and heavy metal ion content to obtain the raw water comprehensive deviation value, determines the comprehensive state of water treatment, obtains the water treatment comprehensive abnormality level value, compares and analyzes with the set comparison interval, and issues corresponding early warning processing. It can accurately analyze the status of raw water, treated pure water and treatment equipment in the water intake link from multiple angles, and can make timely judgments and early warnings on the water treatment status.

[0034] 2. The present invention can accurately control the speed of the water pump by analyzing the demand state of the water pump speed and matching and controlling the water pump speeds in the raw water inlet link, the reverse osmosis link, and the dialysis water delivery link, thereby reducing the cost of equipment maintenance and the incidence of medical accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled according to the actual sizes, and the focus is on illustrating the main purpose of the present invention.

[0036] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0037] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0038] like Figure 1 As shown, the data transmission control system for hemodialysis water treatment equipment includes a data acquisition module, a raw water module, an early warning module and a control module.

[0039] The data acquisition module is used to collect raw water information, pure water information and processing equipment information, and send it to the raw water module and the early warning module;

[0040] The raw water module is used to receive raw water information, and to make judgments and analyses on the virus structure, physical properties, heavy metal content, microbial richness and uniformity of the raw water, so as to obtain the raw water comprehensive deviation value, and send it to the early warning module and the control module. The specific analysis is as follows:

[0041] Step 1: Use an electron microscope to obtain the virus capsid structure information of the raw water in the water intake link, and obtain the three-dimensional structure data of the virus capsid through the structure, and use rotation operation, reflection operation and translation operation respectively to determine whether the capsid can keep itself overlapped. The rotation operation means that the capsid structure remains unchanged after rotating around a certain axis by a certain angle, the reflection operation means that the capsid structure remains unchanged after reflecting through a certain plane, and the translation operation means that the structure remains unchanged after translating a certain distance along the spiral axis;

[0042] Step 2: Record the parameters corresponding to each symmetry operation. The parameters of the rotation operation are the unit direction vector and rotation angle of the rotation axis in the three-dimensional space. The parameters of the reflection operation are the equation of the reflection plane, which is determined by the normal vector of the plane and the coordinates of a point. The parameters of the translation operation are the displacement in the three-dimensional space.

[0043] Step 3: All identified symmetric operations form a set, and verify whether the set satisfies closure, associativity, the existence of an identity element, and that each element has an inverse element. If all of the verifications are satisfied, the set corresponds to a symmetric operation group, where closure means that the new group of any two symmetric operations in the set is also a symmetric operation, associativity means that for any three symmetric operations d, e, and f in the set, (d×e)×f=d×(e×f) can be satisfied, the existence of an identity element means that there is an element in the set that does not perform any operation, and the operation does not change after being combined with any symmetric operation, which is marked as the identity element, and each element has an inverse element means that for each symmetric operation, there is a reverse operation, which is combined with the original operation to obtain the identity element;

[0044] Step 4: If the verification set in step 3 fails, the rotation operation, reflection operation and translation operation are divided into rotation subsets, reflection subsets and translation subsets respectively. The subsets that pass the verification are verified to satisfy the closure, associative law, the existence of identity element and the inverse element of each element. The subgroups are defined as G1 and G2. The G1 group is decomposed into irreducible ρ1, where

[0045] w1

[0046] ρ1=⊕m1i×ρ1i, where i is the number of the irreducible representation after the group representation decomposition of the traversal subgroup G1,

[0047] i=1

[0048] i=1,2,...,w1,ρli represents the ith irreducible representation after the decomposition of subgroup G1, m1i represents the multiplicity of the ith irreducible representation, and the decomposition of G2 group into irreducible ρ2 is also obtained, where According to the formula CY = |w1-w2| / max(w1, w2), the quantitative difference value CY between subgroups G1 and G2 is obtained, where max(w1, w2) refers to the maximum value of w1 and w2. According to the formula The dimension difference value WY between subgroups G1 and G2 is obtained. dli and dlj are the dimensions of the irreducible representations ρ1i and ρ2j, respectively, where the dimension is the number of basis vectors in the corresponding vector space. The quantity difference value and the dimension difference value between subgroups G1 and G2 are weighted and multiplied by the corresponding weight factor coefficient to obtain the structural difference value between subgroups G1 and G2. Repeat the above steps to calculate the structural difference values ​​between each subgroup, and take the average value, which is marked as the subgroup structural difference mean;

[0049] Step 5: The number of elements in the symmetric operation group and the operation subgroup is marked as the order of the symmetric operation group and the operation subgroup. The order of each operation subgroup is added to get the total sub-order, and the number of subgroups verified in step 4 is obtained. The order of the symmetric operation group, the total sub-order, the number of subgroups verified, and the mean of the subgroup structure difference are marked as qjs, zzj, zqs, and zjy, respectively, and normalized according to the set formula Calculations are performed to obtain the difference value Dyz of the virus structure of the raw water, where a1, a2, a3, and a4 are the influencing factor coefficients of the symmetry operation group order, the total sub-order, the number of sub-groups that have passed the verification, and the mean difference of the sub-group structure, respectively. The specific values ​​are determined by personnel in this professional field, and e is a natural constant with a value of 2.178. It should be noted that the larger the difference value of the virus structure of the raw water, the higher the structural diversity of the raw water virus, the greater the difficulty of raw water treatment, and more complex treatment methods are required to ensure that the virus is effectively inactivated or removed;

[0050] Step 6: The raw water in the water inlet link is heated from low temperature T1 to high temperature T2 at a certain interval temperature ΔT. The virus capsid structure information of the raw water at different temperatures is obtained through an electron microscope. When the shape change of part of the symmetry axis of the virus capsid exceeds a certain proportion of the original shape, the specific certain proportion refers to 25%, the corresponding virus capsid undergoes obvious deformation, and the temperature at this time is obtained and marked as the raw water virus deformation temperature threshold. The raw water in the water inlet link is changed from acidic pH to high pH. min To alkaline pH max , the pH adjustment experiment is carried out at a certain interval ΔpH value, and the fluorescent labeled antibody is combined with the antigen site on the capsid, and the intensity change of the fluorescent signal is observed through a fluorescence microscope. When the intensity of the fluorescent signal is weakened to a certain proportion of the original, it is determined that the virus capsid is significantly damaged, where the certain proportion refers to 60%. The pH value of significant damage is obtained and marked as the raw water virus damage threshold. The raw water in the water inlet link is changed from low osmotic pressure DS min To high osmotic pressure DS max , an osmotic pressure change experiment is performed at a certain interval ΔDS, and the fluorescently labeled antibody is combined with the nucleic acid in the capsid, and the fluorescent signal is monitored by the fluorescently labeled nucleic acid probe. When the fluorescent signal is enhanced to twice the background signal, it is determined that the virus capsid begins to rupture, and the osmotic pressure value at the beginning of rupture is obtained, which is marked as the raw water virus osmotic pressure threshold;

[0051] Step 7: Mark the original water virus deformation temperature threshold, original water virus acid loss threshold and original water virus penetration threshold as wyz, syz and pyz respectively, and normalize them with the original water virus structure difference value Dyz, and substitute them into the set formula model Fzd = ψ ×

[0052] (px1×wyz+px2×syz+px3×pyz+px4×Dyz), the complexity Fzd of the raw water virus is calculated, where px1, px2, px3, and px4 are the weight factor coefficients of the raw water virus deformation temperature threshold, raw water virus acid loss threshold, raw water virus seepage threshold, and raw water virus structure difference value, and the values ​​are 1.02, 1.5, 2.14, and 3.15, ψ is the set correction factor coefficient, which is used to promote the accuracy of the calculation, and the value is 0.985. It should be noted that when the deformation temperature threshold, acid loss threshold, and seepage threshold are smaller, the microbial stability of the water quality is worse, the raw water treatment difficulty is smaller, and the treatment method required is simpler;

[0053] Obtain the raw water property deviation, raw water microorganism group rich average difference, and heavy metal ion content from the raw water information of the water intake link, mark them as wxp, fjy, and zjs respectively, and normalize them with the complexity of the raw water virus Fzd, and substitute them into the set formula

[0054] Calculation is performed to obtain the raw water comprehensive deviation ZYZ, where h1, h2, h3 and h4 are the set proportional factor coefficients of raw water physical property deviation, raw water microorganism group rich average deviation, heavy metal ion content and raw water virus complexity, and the specific values ​​are set to 2.1, 1.5, 3.4 and 4.4;

[0055] It should be noted that the raw water property deviation refers to the ratio of the sum of the turbidity and suspended solids content of the raw water to the transparency; the heavy metal ion content refers to the content of chromium, lead, mercury, copper, zinc and cadmium ions;

[0056] It should also be noted that the steps for solving the average difference value of the raw water microorganism group are as follows:

[0057] The average difference value of raw water microorganisms is obtained by gene sequencing and microbial identification methods to obtain the classification information of raw water microorganisms in the water intake link, and the relationship between microbial species is obtained through the database, including symbiosis, predation and competition. Different microbial species are used as nodes in the network, and the relationship between species is used as the edge connecting the nodes. The symbiotic relationship is represented by a solid line, the predation direction is represented by an arrow, and the competition is represented by a dotted line. The network model is constructed according to the formula JM j =2e j / [(lj j -1)×lj j ], get the connection tightness value JM of node j j , where e j refers to the number of edges between neighboring nodes of node j, where lj j Refers to the number of neighboring nodes of node j. The connection density value of the entire network is averaged to obtain the raw water microbial connection density value. The node degree of each microorganism in the network is obtained and the average is taken to obtain the raw water microbial node value. The raw water microbial connection density value and the raw water microbial node value are added to obtain the raw water microbial abundance value. The number of connected components, the average path length, and the average diameter in the network are obtained and added to obtain the raw water microbial average heterogeneity value, where the number of connected components refers to the number of the largest subset of interconnected nodes in the network, the average path length refers to the average value of the shortest path length between all node pairs in the network, and the average diameter refers to the maximum value of the shortest path between any two nodes in the network. When the connected component is small, the average path length and the average diameter are small, the communication and mutual influence between species are limited, and the uniformity is low. The raw water microbial abundance value and the raw water microbial average heterogeneity value are added to obtain the raw water microbial group richness average heterogeneity value;

[0058] The early warning module is used to receive pure water information, treatment equipment information and raw water comprehensive deviation values, determine the comprehensive status of water treatment, and issue corresponding early warning processing. The specific analysis is as follows:

[0059] Obtain the excess value of pure water microchemicals in the treated pure water information, the pre-treatment fault value and the post-treatment fault value in the treatment equipment information, mark them as csw, ysg and hcl respectively, and normalize them with the raw water comprehensive deviation value ZYZ according to the set formula The water treatment comprehensive abnormality level value SYJ is obtained, wherein tc1, tc2 and tc3 are respectively the preset influencing factor coefficients of the excess value of pure water micro-chemicals, the pre-treatment fault value in the treatment equipment information, the post-treatment fault value and the raw water comprehensive abnormality deviation value, and the specific values ​​are determined by the technicians in this professional field, λ1 and λ2 are both set correction factor coefficients, wherein λ1>λ2, and xjl refers to the desalination volatility value of the reverse osmosis membrane. If the desalination rate fluctuates by more than 2% within a certain period of time, the stability of the membrane performance will be problematic, which will have a greater impact on the overall water treatment;

[0060] It should be noted that the excess value of pure water micro-chemicals refers to the sum of the resistivity, endotoxin content, virus content, heavy metal content, hardness, and pH deviation of the treated pure water. The pH deviation refers to the absolute value of the difference between the pH value of the treated pure water and the set pH value, and the set pH value is specifically 7.4; the pre-treatment fault value refers to the exchange capacity decrease rate of the resin in the softener divided by the specific surface area of ​​the activated carbon in the activated carbon filter, the amount of dirt in the filter element in the precision filter, and the filter element β value, to obtain; the post-treatment fault value refers to the desalination volatility value of the reverse osmosis membrane in the reverse osmosis device, the membrane flux attenuation rate, the transmembrane pressure difference in the ultrafiltration device, and the ultraviolet light attenuation rate in the ultraviolet disinfection device, to obtain;

[0061] Compare and analyze the water treatment anomaly level value with the set comparison intervals QW1, QW2, QW3 and QW4, where the comparison intervals QW1, QW2, QW3 and QW4 increase in a certain gradient;

[0062] If the comprehensive abnormality level value of water treatment is in the comparison interval QW1, the comprehensive state of the corresponding water treatment is normal and no corresponding operation is required; if the comprehensive abnormality level value of water treatment is in the comparison interval QW2, the comprehensive state of the corresponding water treatment is slightly abnormal, and an alarm is issued to notify the operation and maintenance personnel to conduct a detailed inspection and shorten the monitoring cycle; if the comprehensive abnormality level value of water treatment is in the comparison interval QW3, the comprehensive state of water treatment is moderately abnormal, and an alarm is issued to notify the operation and maintenance personnel to conduct a detailed inspection and make emergency adjustments, and promptly notify the management personnel and medical staff, and inform them of the moderate abnormality of water treatment; if the comprehensive abnormality level value of water treatment is in the comparison interval QW4, the comprehensive state of water treatment is severely abnormal, and an alarm is issued to notify the operation and maintenance personnel to immediately stop the operation of the water treatment system and set up a special investigation team;

[0063] The control module is used to analyze the demand state of the water pump speed and to match and control the water pump speeds in the raw water inlet link, reverse osmosis link, and dialysis water delivery link. The specific analysis is as follows:

[0064] Real-time monitoring of the amount of water in the pure water tank sQ, the daily pure water demand for hemodialysis in the hospital xQ, and the average number of times the water treatment comprehensive state is slightly abnormal, the water treatment comprehensive state is moderately abnormal, and the water treatment comprehensive state is severely abnormal in the history within one month, marked as QY, ZY and ZY, and compared with the raw water comprehensive deviation ZYZ, according to the formula Get the required speed value XZZ of the pump in the raw water inlet link, reverse osmosis link, and dialysis water delivery link 1，2，3 , where g1, g2, g3, g4 and g5 are all set weight factor coefficients, and g1 <g2<g3,ρ 1，2，3 Corresponding to the water pump speed correction factor coefficient of the raw water inlet link, reverse osmosis link, and dialysis water delivery link, when the raw water comprehensive deviation value is larger, the subsequent processing time is increased, and a larger speed is required; the water pump speeds of the raw water inlet link, reverse osmosis link, and dialysis water delivery link are matched with corresponding speed values ​​according to their respective water pump speed requirements, and operate according to the matched speed values;

[0065] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. A data transmission control system for hemodialysis water treatment equipment, characterized in that: include: Data collection module, used to collect raw water information, pure water information and processing equipment information, and send it to the raw water module and early warning module; The raw water module is used to determine and analyze the virus structure, physical properties, heavy metal content, microbial richness and uniformity of the raw water to obtain the raw water comprehensive deviation value and send it to the early warning module and control module; The early warning module is used to receive pure water information, treatment equipment information and raw water comprehensive deviation values, determine the comprehensive status of water treatment, and issue corresponding early warning processing; The control module is used to analyze the water pump speed demand state and to match and control the water pump speeds in the raw water inlet link, reverse osmosis link, and dialysis water delivery link.

2. The data transmission control system for hemodialysis water treatment equipment according to claim 1, characterized in that: The steps for analyzing the overall deviation of the raw water are as follows: Obtain the raw water property deviation, raw water microorganism group rich average difference, and heavy metal ion content from the raw water information of the water intake link, mark them as wxp, fjy, and zjs respectively, and normalize them with the complexity of the raw water virus Fzd, and substitute them into the set formula Calculation is performed to obtain the raw water comprehensive deviation value ZYZ, where h1, h2, h3 and h4 are all set proportional factor coefficients.

3. The data transmission control system for hemodialysis water treatment equipment according to claim 2, characterized in that: The steps for analyzing the average value of raw water microorganisms are as follows: The classification information of raw water microorganisms in the water intake link was obtained through gene sequencing and microbial identification methods, and the relationships between microbial species, including symbiosis, predation and competition, were obtained through the database. Different microbial species were used as nodes in the network, and the relationships between species were used as edges connecting nodes. The symbiotic relationship was represented by a solid line, the predation direction was represented by an arrow, and the competition was represented by a dotted line. The network model was constructed according to the formula JM j =2e j / [(lj j -1)×lj j ], get the connection tightness value JM of node j j , where e j refers to the number of edges between neighboring nodes of node j, where lj j It refers to the number of neighboring nodes of node j. The connection density value of the entire network is averaged to obtain the raw water microorganism connection density value. The node degree of each microorganism in the network is obtained and the average is taken to obtain the raw water microorganism node value. The raw water microorganism connection density value and the raw water microorganism node value are added to obtain the raw water microorganism richness value. The number of connected components, the average path length, and the average diameter in the network are obtained and added to obtain the raw water microorganism average difference value, where the number of connected components refers to the number of the largest subset of interconnected nodes in the network, the average path length refers to the average value of the shortest path length between all node pairs in the network, and the average diameter refers to the maximum value of the shortest path between any two nodes in the network. The raw water microorganism richness value and the raw water microorganism average difference value are added to obtain the raw water microorganism group richness average difference value.

4. The data transmission control system for hemodialysis water treatment equipment according to claim 3, characterized in that: The steps of complexity analysis of raw water virus are as follows: The raw water in the water inlet link is heated from low temperature T1 to high temperature T2 at a certain interval temperature ΔT. The virus capsid structure information of the raw water at different temperatures is obtained by electron microscopy. When the shape change of part of the symmetry axis of the virus capsid exceeds a certain proportion of the original shape, the corresponding virus capsid undergoes obvious deformation. The temperature at this time is obtained and marked as the raw water virus deformation temperature threshold. The raw water in the water inlet link is changed from acidic pH to high pH. min To alkaline pH max , the pH adjustment experiment is carried out at a certain interval of ΔpH value, and the fluorescent labeled antibody is combined with the antigen site on the capsid, and the intensity change of the fluorescent signal is observed through a fluorescence microscope. When the intensity of the fluorescent signal is weakened to a certain proportion of the original, it is determined that the virus capsid is significantly damaged, and the significantly damaged pH value is obtained, which is marked as the raw water virus damage threshold. The raw water in the water inlet link is changed from low osmotic pressure DS min To high osmotic pressure DS max , an osmotic pressure change experiment is performed at a certain interval ΔDS, and the fluorescently labeled antibody is combined with the nucleic acid in the capsid, and the fluorescent signal is monitored by the fluorescently labeled nucleic acid probe. When the fluorescent signal is enhanced to twice the background signal, it is determined that the virus capsid begins to rupture, and the osmotic pressure value at the beginning of rupture is obtained, which is marked as the raw water virus osmotic pressure threshold; The raw water virus deformation temperature threshold, raw water virus acid loss threshold and raw water virus penetration threshold are combined with the raw water virus structure difference value Dyz to calculate the raw water virus complexity Fzd.

5. The data transmission control system for hemodialysis water treatment equipment according to claim 4, characterized in that: The steps for analyzing the difference value of the virus structure of the raw water are as follows: The number of elements in the symmetric operation group and the operation subgroup is marked as the order of the symmetric operation group and the operation subgroup. The order of each operation subgroup is added to get the total sub-order, and the number of subgroups verified in step 4 is obtained. The symmetric operation group order, the total sub-order, the number of subgroups verified, and the mean of the subgroup structure difference are marked as qjs, zzj, zqs, and zjy, respectively, and normalized according to the set formula Calculations are performed to obtain the virus structure difference value Dyz of the raw water, where a1, a2, a3, and a4 are all set influencing factor coefficients, and e is a natural constant.

6. The data transmission control system for hemodialysis water treatment equipment according to claim 5, characterized in that: The steps of subgroup structure difference mean analysis are as follows: If the verification set fails, the rotation operation, reflection operation and translation operation are divided into rotation subsets, reflection subsets and translation subsets respectively. The subsets that pass the verification are checked to see whether they satisfy closure, associativity, the existence of identity element and the inverse of each element. The obtained subgroups are defined as G1 and G2. The G1 group is decomposed into irreducible ρ1, where Where i is the number of the irreducible representation after the decomposition of the group representation of the traversed subgroup G1, i = 1, 2, ..., w1, ρli represents the i-th irreducible representation after the decomposition of the subgroup G1, m1i represents the multiplicity of the i-th irreducible representation, and the G2 group is decomposed into irreducible ρ2 in the same way, where According to the formula CY = |w1-w2| / max(w1, w2), the quantitative difference value CY between subgroups G1 and G2 is obtained, where max(w1, w2) refers to the maximum value of w1 and w2. According to the formula The dimensional difference value WY between subgroups G1 and G2 is obtained. dli and dlj are the dimensions of the irreducible representations ρ1i and ρ2j respectively, where the dimension is the number of basis vectors in the corresponding vector space. The quantity difference value and dimensional difference value between subgroups G1 and G2 are weighted and multiplied by the corresponding weight factor coefficient to obtain the structural difference value between subgroups G1 and G2. Repeat the above steps to calculate the structural difference values ​​between each subgroup, and take the average value, which is marked as the subgroup structural difference mean.

7. The data transmission control system for hemodialysis water treatment equipment according to claim 5, characterized in that: The steps of analyzing the symmetric operation group are as follows: The raw water in the water intake link is subjected to an electron microscope to obtain the virus capsid structure information of the raw water, and the three-dimensional structure data of the virus capsid is obtained through the structure, and rotation operation, reflection operation and translation operation are respectively used to determine whether the capsid can keep itself overlapped. The rotation operation refers to the capsid structure remaining unchanged after rotating around a certain axis by a certain angle, the reflection operation refers to the capsid structure remaining unchanged after reflecting through a certain plane, and the translation operation refers to the structure remaining unchanged after translating a certain distance along the spiral axis; Record the parameters corresponding to each symmetry operation. The parameters of the rotation operation are the unit direction vector and rotation angle of the rotation axis in the three-dimensional space. The parameters of the reflection operation are the equation of the reflection plane, which is determined by the normal vector of the plane and the coordinates of a point. The parameters of the translation operation are the displacement in the three-dimensional space. All identified symmetry operations form a set, and it is verified whether the set satisfies closure, associativity, the existence of an identity element, and that each element has an inverse. If all of the verifications are met, the set corresponds to a symmetry operation group, where closure means that the new group of any two symmetry operations in the set is also a symmetry operation, associativity means that for any three symmetry operations d, e, and f in the set, (d×e)×f=d×(e×f) can be satisfied, the existence of an identity element means that there is an element in the set that does not perform any operation, and the operation is not changed after being combined with any symmetry operation, which is marked as the identity element, and each element has an inverse element means that for each symmetry operation, there is a reverse operation, which is combined with the original operation to obtain the identity element.

8. The data transmission control system for hemodialysis water treatment equipment according to claim 1, characterized in that: The corresponding warning processing steps are as follows: If the comprehensive abnormality level value of water treatment is in the comparison interval QW1, the corresponding comprehensive state of water treatment is normal; if the comprehensive abnormality level value of water treatment is in the comparison interval QW2, the corresponding comprehensive state of water treatment is slightly abnormal, and an alarm is issued, corresponding to treatment measure one; if the comprehensive abnormality level value of water treatment is in the comparison interval QW3, the corresponding comprehensive state of water treatment is moderately abnormal, and an alarm is issued, corresponding to treatment measure two; if the comprehensive abnormality level value of water treatment is in the comparison interval QW4, the corresponding comprehensive state of water treatment is severely abnormal, and an alarm is issued, corresponding to treatment measure three.

9. The data transmission control system for hemodialysis water treatment equipment according to claim 8, characterized in that: The steps of water treatment are as follows: Obtain the excess value of pure water microchemicals in the treated pure water information, the pre-treatment fault value and the post-treatment fault value in the treatment equipment information, mark them as csw, ysg and hcl respectively, and normalize them with the raw water comprehensive deviation value ZYZ according to the set formula The comprehensive abnormality level value SYJ of water treatment is obtained, wherein tc1, tc2 and tc3 are preset influencing factor coefficients, and the specific values ​​are determined by technical personnel in this professional field, λ1 and λ2 are set correction factor coefficients, wherein λ1>λ2, and xjl refers to the desalination volatility value of the reverse osmosis membrane.

10. The data transmission control system for hemodialysis water treatment equipment according to claim 1, characterized in that: The steps for matching and controlling the water pump speed are as follows: Real-time monitoring of the amount of water in the pure water tank sQ, the daily pure water demand for hemodialysis in the hospital xQ, and the average number of times the water treatment comprehensive state is slightly abnormal, the water treatment comprehensive state is moderately abnormal, and the water treatment comprehensive state is severely abnormal in the history within one month, marked as QY, ZY and ZY, and compared with the raw water comprehensive deviation ZYZ, according to the formula Get the required speed value XZZ of the pump in the raw water inlet link, reverse osmosis link, and dialysis water delivery link 1，2，3 , where g1, g2, g3, g4 and g5 are all set weight factor coefficients, and g1 <g2<g3,ρ 1，2，3 It corresponds to the water pump speed correction factor coefficient of the raw water inlet link, reverse osmosis link, and dialysis water delivery link; the water pump speeds of the raw water inlet link, reverse osmosis link, and dialysis water delivery link are matched with corresponding speed values ​​according to their respective water pump speed demand values, and operate according to the matched speed values.

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