Data transmission control system for hemodialysis water treatment equipment

Abstract

The present invention discloses a data transmission control system for hemodialysis water treatment equipment, which relates to the field of data transmission control and includes a data acquisition module, a raw water module, an early warning module and a control module. The present invention determines and analyzes the virus structure, physical properties, heavy metal content, microbial richness and uniformity of the raw water to obtain the complexity of the raw water virus, and analyzes it with the raw water physical property deviation, raw water microorganism group richness 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 it with the set comparison interval, issues corresponding early warning processing, analyzes the water pump speed demand state, and matches and controls the water pump speeds of the raw water inlet link, reverse osmosis link and dialysis water delivery link, thereby reducing the cost of equipment maintenance and the incidence of medical accidents.

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, the decentralized distribution of hospital equipment, and the pursuit of cost-effectiveness and timely maintenance of equipment have made the management of hemodialysis water treatment equipment a more important issue. At the same time, with the continuous application of hemodialysis technology in kidney disease, the quality requirements for hemodialysis water are becoming increasingly higher. Traditional manual monitoring and simple control can no longer meet the needs of water quality and equipment management, which has led to the emergence of data transmission and 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 raw water, treated pure water and treatment equipment in the water intake link from multiple angles. At the same time, 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-mentioned 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 hemodialysis water treatment equipment.

[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 early warning module.

[0008] The raw water module is used to judge 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.

[0009] The steps for analyzing the raw water comprehensive deviation are as follows:

[0010] 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 subtotal order, and the number of subgroups verified in step 4 is obtained. The symmetric operation group order, subtotal order, number of subgroups verified, and mean value of 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.

[0011] The raw water in the water inlet link is heated from low temperature T1 to high temperature T2 at a certain interval of temperature ΔT. The virus capsid structure information of the raw water at different temperatures is obtained by electron microscopy. When the shape of the part on the symmetry axis of the virus capsid changes by more than 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 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 by 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 carried out at a certain interval ΔDS, and the fluorescently labeled antibody is combined with the nucleic acid in the capsid, and the fluorescence signal is monitored by the fluorescently labeled nucleic acid probe. When the fluorescence 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 rupture threshold.

[0012] 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.

[0013] Obtain the raw water property deviation, raw water microorganism rich average difference value, and heavy metal ion content in the raw water information of the water inlet link, mark them as wxp, fjy, and zjs respectively, and normalize them with the raw water virus complexity Fzd, and substitute them into the set formula , calculate to get the raw water comprehensive deviation ZYZ, where h1, h2, h3 and h4 are the set proportional factor coefficients.

[0014] 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.

[0015] The control module is used to analyze the water pump speed demand state and match and control the water pump speeds in the raw water inlet link, reverse osmosis link, and dialysis water delivery link.

[0016] Furthermore, the steps for analyzing the average value of the raw water microorganism group are as follows:

[0017] The classification information of raw water microorganisms in the water inlet link is obtained through gene sequencing and microbial identification methods, and the relationships between microbial species are obtained through the database, including symbiosis, predation and competition relationships. Different microbial species are used as nodes in the network, and the relationships between species are used as edges connecting 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 It refers to the number of edges between neighbor nodes of node j, where lj j It refers to the number of neighboring nodes of node j. The average of the connection density value of the entire network is obtained 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 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 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 of the shortest path lengths 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 microbial richness value and the raw water microbial average heterogeneity value are added to obtain the raw water microbial group richness average heterogeneity value.

[0018] Furthermore, the subgroup structure difference mean analysis steps are as follows:

[0019] 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 meet the closure, associativity, identity and 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 traversal 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 , where j is the number of the irreducible representation after the decomposition of the group representation of the traversed subgroup G1, j=1, 2, ..., w2, according to the formula CY=|w1-w2| / max(w1, w2), the quantitative difference value CY between the subgroups G1 and G2 is obtained, where max(w1, w2) refers to the maximum value of w1 and w2, according to the formula , obtain the dimensional difference value WY between subgroups G1 and G2, 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 value between each subgroup, and take the average value, which is marked as the subgroup structural difference mean.

[0020] Furthermore, the steps of analyzing the symmetric operation group are as follows:

[0021] 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. Rotation operation, reflection operation and translation operation are used respectively to determine whether the capsid can maintain its own overlap. The rotation operation refers to the capsid structure remaining unchanged after rotating a certain angle around a certain axis, 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.

[0022] 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 specifically 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.

[0023] 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 does not change 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 an inverse operation, which is combined with the original operation to obtain the identity element.

[0024] Furthermore, the corresponding warning processing steps are as follows:

[0025] If the comprehensive abnormality level value of water treatment is in the comparison interval QW1, the comprehensive status of the water treatment is normal; if the comprehensive abnormality level value of water treatment is in the comparison interval QW2, the comprehensive status 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 comprehensive status 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 comprehensive status of water treatment is severely abnormal, and an alarm is issued, corresponding to treatment measure three.

[0026] Furthermore, the steps for determining the water treatment abnormality level are as follows:

[0027] Obtain the excess value of pure water micro-chemicals in the treated pure water information, the pre-treatment fault value and the post-treatment fault value in the treatment equipment information, marked as csw, ysg and hcl respectively, and normalize them with the raw water comprehensive deviation value ZYZ according to the set formula , and obtain the comprehensive abnormality level value SYJ of water treatment, where tc1, tc2, tc3 and tc4 are preset influencing factor coefficients, and the specific values ​​are determined by technicians in this professional field, λ1 and λ2 are set correction factor coefficients, where λ1>λ2, and xjl refers to the desalination volatility value of the reverse osmosis membrane.

[0028] Furthermore, the steps for matching and controlling the water pump speed are as follows:

[0029] 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 that the water treatment comprehensive status is slightly abnormal, the water treatment comprehensive status is moderately abnormal, and the water treatment comprehensive status 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 requirements, and operate according to the matched speed values.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] 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 it with the raw water physical property deviation, raw water microbial group richness 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 it with the set comparison interval, and issues corresponding early warning processing. It can accurately analyze the state of raw water, treated pure water and treatment equipment in the water inlet link from multiple angles, and can make timely judgments and early warnings on the water treatment state.

[0032] 2. The present invention analyzes the demand state of the water pump speed and matches and controls the water pump speeds in the raw water inlet link, reverse osmosis link, and dialysis water delivery link. It can accurately control the water pump speed, reduce the cost of equipment maintenance, and reduce the incidence of medical accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] 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 to the actual size, and the focus is on illustrating the main purpose of the present invention.

[0034] Figure 1 This is a system block diagram of the present invention. DETAILED DESCRIPTION

[0035] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the embodiments described 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 making creative efforts also fall within the scope of protection of the present invention.

[0036] 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.

[0037] 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 early warning module.

[0038] The raw water module is used to receive raw water information and perform analysis on 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 specific analysis is as follows:

[0039] Step 1: The raw water in the water intake link is examined through 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. Rotation operation, reflection operation and translation operation are used respectively to ensure that the capsid can maintain its own overlap. The rotation operation refers to the capsid structure remaining unchanged after rotating a certain angle around a certain axis, the reflection operation refers to the capsid structure remaining unchanged after being reflected through a certain plane, and the translation operation refers to the structure remaining unchanged after translating a certain distance along the spiral axis.

[0040] 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 specifically 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.

[0041] 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. 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 does not change after being combined with any symmetry operation, which is marked as the identity element, and the existence of an inverse element for each element means that for each symmetry operation, there is an inverse operation, which is combined with the original operation to obtain the identity element.

[0042] 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 formed into subgroups by checking whether they satisfy the closure, associativity, identity element and inverse element 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 traversal 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 , obtain the dimensional difference value WY between subgroups G1 and G2, 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 value between each subgroup, and take the average value, which is marked as the subgroup structural difference mean.

[0043] 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 subtotal order, and the number of subgroups verified in step 4 is obtained. The symmetric operation group order, subtotal order, number of subgroups verified, and mean value of subgroup structure difference are marked as qjs, zzj, zqs, and zjy, respectively, and normalized according to the set formula

[0044] , calculations are performed to obtain the virus structure pair difference value Dyz 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 of the sub-group structure difference, 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 virus structure pair difference value of the raw water, the higher the structural diversity of the raw water virus, the more difficult the raw water treatment is, and more complex treatment methods are required to ensure that the virus is effectively inactivated or removed.

[0045] Step 6: The raw water in the water inlet link is heated from low temperature T1 to high temperature T2 at a certain interval of 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 specific certain proportion is 25%, 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 ΔpH value, and the fluorescent labeled antibody is combined with the antigen site on the capsid. The intensity change of the fluorescent signal is observed under 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 a certain proportion refers to 60%. The pH value of significant damage is obtained and marked as the acid threshold of the raw water virus damage. 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 carried out at a certain interval ΔDS, and the fluorescently labeled antibody is combined with the nucleic acid in the capsid, and the fluorescence signal is monitored by the fluorescently labeled nucleic acid probe. When the fluorescence 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 rupture threshold.

[0046] Step 7: Mark the raw water virus deformation temperature threshold, raw water virus acid loss threshold and raw water virus seepage threshold as wyz, syz and pyz respectively, and normalize them with the raw water virus structure difference value Dyz, and substitute them into the set formula model Fzd=ψ×(px1×wyz+px2×syz+px3×pyz+px4×Dyz) to calculate the raw water virus complexity Fzd, where px1, px2, px3 and px4 are the set 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 respectively. ψ is the set correction factor coefficient used to improve 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 lower, and a simpler treatment method is required.

[0047] Obtain the raw water property deviation, raw water microorganism rich average difference value, and heavy metal ion content in the raw water information of the water inlet link, mark them as wxp, fjy, and zjs respectively, and normalize them with the raw water virus complexity Fzd, and substitute them into the set formula , calculations are 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 microbial group richness average deviation, heavy metal ion content and raw water virus complexity, respectively. The specific values ​​are set to 2.1, 1.5, 3.4 and 4.4.

[0048] It should be noted that the raw water physical property deviation refers to the ratio of the sum of the turbidity and suspended matter 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.

[0049] It should also be noted that the steps for solving the average difference value of the raw water microorganism group are as follows:

[0050] The average difference value of raw water microbial population is obtained by gene sequencing and microbial identification methods to obtain the classification information of raw water microorganisms in the water inlet 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 It refers to the number of edges between neighbor nodes of node j, where lj j It refers to the number of neighboring nodes of node j. The average of the connection density value of the entire network is obtained 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 richness value. The number of connected components, average path length, and 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 of the shortest path lengths 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 components are small, the average path length and the average diameter are small, the communication and mutual influence between species are restricted, and the uniformity is low. The raw water microbial richness value and the raw water microbial average heterogeneity value are added to obtain the raw water microbial group richness average heterogeneity value.

[0051] 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 warnings. The specific analysis is as follows:

[0052] Obtain the excess value of pure water micro-chemicals in the treated pure water information, the pre-treatment fault value and the post-treatment fault value in the treatment equipment information, marked as csw, ysg and hcl respectively, and normalize them with the raw water comprehensive deviation value ZYZ according to the set formula , and obtain the water treatment comprehensive abnormality level value SYJ, where tc1, tc2, tc3 and tc4 are the preset influencing factor coefficients of pure water microchemical excess value, pre-treatment fault value in the treatment equipment information, post-treatment fault value and raw water comprehensive abnormality deviation value, respectively. The specific values ​​are determined by technical personnel in this professional field. λ1 and λ2 are both set correction factor coefficients, where 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, there will be problems with the stability of the membrane performance, which will have a greater impact on the overall water treatment.

[0053] 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. 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 beta value of the filter element, 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 decay rate in the ultraviolet disinfection device, to obtain.

[0054] The water treatment comprehensive abnormality level value is compared and analyzed with the set comparison intervals QW1, QW2, QW3 and QW4, among which the comparison intervals QW1, QW2, QW3 and QW4 increase in a certain gradient.

[0055] If the comprehensive abnormality level value of water treatment is in the comparison interval QW1, the comprehensive status 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 status 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 status 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 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 status 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.

[0056] The control module is used to analyze the water pump speed demand state and 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:

[0057] 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 that the water treatment comprehensive status is slightly abnormal, the water treatment comprehensive status is moderately abnormal, and the water treatment comprehensive status 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. 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.

[0058] The above is an illustration of the present invention and should not be considered as limiting thereof. Although several exemplary embodiments of the present invention have been described, it will be readily understood 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 by the claims. It should be understood that the above is an illustration 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 acquisition 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 steps for analyzing the raw water comprehensive deviation 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 subtotal order, and the number of subgroups verified in step 4 is obtained. The symmetric operation group order, subtotal order, number of subgroups verified, and mean value of subgroup structure difference are marked as qjs, zzj, zqs, and zjy, respectively, and normalized according to the set formula , calculate to obtain the virus structure difference value Dyz of the raw water, where a1, a2, a3, and a4 are the set influence factor coefficients, and e is a natural constant; The raw water in the water inlet link is heated from low temperature T1 to high temperature T2 at a certain interval of temperature ΔT. The virus capsid structure information of the raw water at different temperatures is obtained by electron microscopy. When the shape of the part on the symmetry axis of the virus capsid changes by more than 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 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 by 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 a fluorescently labeled antibody is bound to the nucleic acid in the capsid. The fluorescent signal is monitored by a fluorescently labeled nucleic acid probe. When the fluorescent signal increases to twice the background signal, it is determined that the viral capsid begins to rupture, and the osmotic pressure value at which the rupture begins is obtained and marked as the raw water virus rupture threshold; The raw water virus deformation temperature threshold, raw water virus acid loss threshold and raw water virus penetration threshold are calculated with the raw water virus structure difference value Dyz to obtain the raw water virus complexity Fzd; Obtain the raw water property deviation, raw water microorganism rich average difference value, and heavy metal ion content in the raw water information of the water inlet link, mark them as wxp, fjy, and zjs respectively, and normalize them with the raw water virus complexity Fzd, and substitute them into the set formula , calculate to obtain the raw water comprehensive deviation value ZYZ, where h1, h2, h3 and h4 are the set proportional factor coefficients; 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 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 average and average values ​​of the raw water microorganism groups are as follows: The classification information of raw water microorganisms in the water inlet link is obtained through gene sequencing and microbial identification methods, and the relationships between microbial species are obtained through the database, including symbiosis, predation and competition relationships. Different microbial species are used as nodes in the network, and the relationships between species are used as edges connecting 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 It refers to the number of edges between neighbor nodes of node j, where lj j It refers to the number of neighboring nodes of node j. The average of the connection density value of the entire network is obtained 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 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 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 of the shortest path lengths 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 microbial richness value and the raw water microbial average heterogeneity value are added to obtain the raw water microbial group richness average heterogeneity value.

3. The data transmission control system for hemodialysis water treatment equipment according to claim 1, 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 meet the closure, associativity, identity and 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 traversal 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 , where j is the number of the irreducible representation after the decomposition of the group representation of the traversed subgroup G1, j=1, 2, ..., w2, according to the formula CY=|w1-w2| / max(w1, w2), the quantitative difference value CY between the subgroups G1 and G2 is obtained, where max(w1, w2) refers to the maximum value of w1 and w2, according to the formula , obtain the dimensional difference value WY between subgroups G1 and G2, 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 value between each subgroup, and take the average value, which is marked as the subgroup structural difference mean.

4. The data transmission control system for hemodialysis water treatment equipment according to claim 1, 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. Rotation operation, reflection operation and translation operation are respectively used to ensure that the capsid can maintain its own overlap. The rotation operation refers to the capsid structure remaining unchanged after rotating a certain angle around a certain axis, 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 in the three-dimensional space of the rotation axis. The parameters of the reflection operation are the equation of the reflection plane, which is specifically determined by the plane's normal vector 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 does not change 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 an inverse operation, which is combined with the original operation to obtain the identity element.

5. 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 comprehensive status of the water treatment is normal; if the comprehensive abnormality level value of water treatment is in the comparison interval QW2, the comprehensive status 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 comprehensive status 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 comprehensive status of water treatment is severely abnormal, and an alarm is issued, corresponding to treatment measure three.

6. The data transmission control system for hemodialysis water treatment equipment according to claim 5, characterized in that: The steps for the comprehensive abnormality level evaluation of water treatment are as follows: Obtain the excess value of pure water micro-chemicals in the treated pure water information, the pre-treatment fault value and the post-treatment fault value in the treatment equipment information, marked as csw, ysg and hcl respectively, and normalize them with the raw water comprehensive deviation value ZYZ according to the set formula , and obtain the comprehensive abnormality level value SYJ of water treatment, where tc1, tc2, tc3 and tc4 are preset influencing factor coefficients, and the specific values ​​are determined by technicians in this professional field, λ1 and λ2 are set correction factor coefficients, where λ1>λ2, and xjl refers to the desalination volatility value of the reverse osmosis membrane.

7. The data transmission and 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 that the water treatment comprehensive status is slightly abnormal, the water treatment comprehensive status is moderately abnormal, and the water treatment comprehensive status 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 requirements, and operate according to the matched speed values.

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