Hemodialysis machine treatment data intelligent collection system

Abstract

The invention relates to the technical field of data management, in particular to a hemodialysis machine treatment data intelligent collection system which comprises a data collection processing center, a hemodialysis information base, a treatment state evaluation unit, an information offset evaluation unit, a collection transmission analysis unit, a collection management distribution unit and an operation management unit. Analysis is carried out from two points of collection and collection and transmission based on stable operation of the hemodialysis machine so as to guarantee collection and storage integrity and effectiveness of treatment data of a patient, treatment matching and information collection management analysis are carried out on basic information in an information progressive mode, on one hand, preliminary recognition matching is carried out on the patient, and on the other hand, treatment matching is carried out on the patient; on the one hand, the patient treatment information storage accuracy and the information integration efficiency are improved, on the other hand, treatment information management and setting of a patient subjected to primary dialysis are facilitated, integration and subsequent retrieval query of patient treatment data are improved, and then the collection efficiency of the patient treatment data is improved on the whole.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and in particular to an intelligent collection system for hemodialysis machine treatment data. Background Art

[0002] Hemodialysis is one of the renal replacement therapies for patients with acute and chronic renal failure. It drains blood from the body to the outside of the body through a dialyzer composed of countless hollow fibers. The blood and the electrolyte solution (dialysate) containing similar concentrations to the body are exchanged inside and outside the hollow fibers through the principles of diffusion, ultrafiltration, adsorption and convection to remove metabolic waste from the body, maintain electrolyte and acid-base balance, remove excess water from the body, and return the purified blood. The whole process is called hemodialysis; However, in the prior art, it is impossible to detect potential hazards in the operation of the hemodialysis machine in advance and issue early warnings, which increases the risk of data collection during the operation of the hemodialysis machine, and it is impossible to supervise the difficulty of data collection from the two points of collection and transmission, thereby reducing the integrity and effectiveness of treatment data collection and storage. At the same time, when collecting and storing treatment data, it is impossible to store it reasonably according to the patient's treatment situation, resulting in a chaotic storage process, and the data is prone to incompleteness, which is not conducive to the subsequent call of scientific research data; In view of the above technical defects, a solution is now proposed. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent collection system for hemodialysis machine treatment data to solve the above-mentioned technical defects. The present invention initially analyzes from the perspective of potential mutations of the hemodialysis machine to understand whether the hemodialysis machine is controlled to work so as to improve the operating stability and safety of the hemodialysis machine. The information feedback method is used to analyze from the two points of collection and collection transmission so as to intuitively understand whether the collection and transmission of treatment data interfere with subsequent storage and collection, thereby ensuring the integrity and effectiveness of the patient's treatment data collection and storage. The basic information is analyzed for treatment matching and information collection management in an information progressive manner. On the one hand, the patient is preliminarily identified and matched to improve the accuracy of patient treatment information storage and information integration efficiency. On the other hand, it helps to manage and set treatment information for first-time dialysis patients, helps to improve the integration of patient treatment data and subsequent retrieval and query, and thus helps to improve the overall collection efficiency of patient treatment data.

[0004] The object of the present invention can be achieved by the following technical solutions: A hemodialysis machine treatment data intelligent collection system, including a data collection and processing center, a hemodialysis information library, a treatment status evaluation unit, an information offset evaluation unit, a collection transmission analysis unit, a collection management allocation unit and an operation management unit; The data collection and processing center is used to retrieve the potential operation data of the hemodialysis machine from the hemodialysis information database, and send the potential operation data to the treatment status evaluation unit, which is used to evaluate and analyze the necessity of information collection on the received potential operation data, and perform discrimination processing on the obtained operation evaluation coefficient to obtain a normal signal or an abnormal signal; The information deviation evaluation unit is used to respond to normal signals, collect the collection influence information of the hemodialysis machine treatment data, and divide and analyze the collection influence information according to the information collection accuracy to obtain the first-level accuracy or the second-level accuracy; The collection transmission analysis unit is used to respond to the normal signal, collect the collection transmission information of the hemodialysis machine treatment data, and perform progressive analysis on the collection transmission information to obtain the first level availability, the second level availability or the third level availability; Conduct evaluation feedback analysis on the first-level accuracy, second-level accuracy, first-level availability, second-level availability, and third-level availability. If both the first-level accuracy and the first-level availability are obtained at the same time, a valid signal is generated; if both the first-level accuracy and the first-level availability are not obtained at the same time, a deviation signal is generated; The collection management allocation unit is used to respond to effective signals, collect basic information input by the patient, and perform treatment matching and information collection management analysis on the basic information to obtain the sub-storage folder name and dialysis folder name.

[0005] Preferably, the information collection necessity evaluation and analysis process is as follows: The treatment period of the hemodialysis machine is collected and set as a time threshold, and the potential operation data of the hemodialysis machine within the time threshold is obtained. The potential operation data includes the start-stop response value and the parameter deviation index. The number of start-stop response values ​​and parameter deviation indexes that are greater than or equal to the preset start-stop response value threshold and the preset parameter deviation index threshold is set as the operation condition evaluation coefficient, and the operation condition evaluation coefficient is discriminated and processed to obtain a normal signal or an abnormal signal.

[0006] Preferably, the start-stop response value indicates the number of times that the difference between the actual end consumption time corresponding to the historical dialysis tasks of the hemodialysis machine and the preset end consumption time is greater than a preset threshold; the parameter deviation index indicates the proportion of the number of times that the working condition information corresponding to the dialysis tasks in the total number of historical dialysis tasks of the hemodialysis machine has a value that exceeds the preset threshold, and the working condition information includes operating temperature and mechanical vibration amplitude.

[0007] Preferably, the information collection accuracy division and analysis process is as follows: Acquire the collection influence information of the hemodialysis machine treatment data within the time threshold, the collection influence information includes the information deviation index and the real-time evaluation index, compare and analyze the information deviation index and the real-time evaluation index with the preset information deviation index threshold and the preset real-time evaluation index threshold, and obtain the first-level accuracy and the second-level accuracy; The analysis process of the information deviation index is as follows: obtaining the number of collection interference information in the hemodialysis machine treatment data collection process within the time threshold, and setting the number of collection interference information in the hemodialysis machine treatment data collection process as the information deviation index, and the collection interference information includes sensor failure and flow failure; The analysis process of the real-time evaluation index is as follows: obtaining the part of the mean value of the collection preprocessing time of the hemodialysis machine treatment data within the time threshold that exceeds the preset threshold, and setting the part of the mean value of the collection preprocessing time of the hemodialysis machine treatment data that exceeds the preset threshold as the real-time evaluation index, and the mean value of the collection preprocessing time represents the average value of the time between the start time and the end time of the collection preprocessing in the total number of historical uses of the hemodialysis machine.

[0008] Preferably, the information collection availability progressive analysis process is as follows: Acquire the collection and transmission information of the hemodialysis machine treatment data within the time threshold, the collection and transmission information includes a timeliness evaluation value and a credibility evaluation value, compare and analyze the timeliness evaluation value and the credibility evaluation value with a preset timeliness evaluation value threshold and a preset credibility evaluation value threshold, set the number of timeliness evaluation values ​​and credibility evaluation values ​​that are greater than or equal to the preset timeliness evaluation value threshold and the preset credibility evaluation value threshold as the transmission reliability value, and perform discrimination processing on the transmission reliability value to obtain first-level availability, second-level availability, or third-level availability; The timeliness evaluation value represents the product of the frequency at which the value corresponding to the transmission parameter information of the hemodialysis machine treatment data exceeds the preset threshold and the power attenuation rate after data normalization, and the transmission parameter information includes the delay rate and the packet loss rate; the credibility evaluation value represents the product of the proportion of the number of bit errors in the hemodialysis machine treatment data to the total number of bits and the interference index after data normalization, and the interference index represents the part of the environmental electromagnetic value that exceeds the preset threshold.

[0009] Preferably, the treatment matching and information collection management analysis process is as follows: The basic information input by the patient is obtained through the data recording program, and the basic information includes name, gender, age, and ID number. At the same time, the basic information is extracted, and the character string composed of the character extraction of the basic information is set as the dialysis identification string. At the same time, the historical dialysis identification string list is obtained, and the dialysis identification string is compared and analyzed one by one with the historical dialysis identification string list to obtain a matching signal or a first dialysis signal.

[0010] Preferably, when a matching signal is generated, S1: obtaining a record storage folder of the patient corresponding to the matching signal in a dialysis storage repository; S2: Obtain the patient's current dialysis date, perform character extraction on the patient's current dialysis date, and set the character string composed of the character extraction of the patient's current dialysis date as the sub-storage folder name, set the sub-storage folder in the record storage folder with the sub-storage folder name, and use the hemodialysis data collector to collect the treatment data of patients undergoing hemodialysis in real time, and store the treatment data in the sub-storage folder name, which helps to improve the integration of patient treatment data and subsequent retrieval queries.

[0011] Preferably, when the first dialysis signal is generated, the patient's name and the last six digits of the ID card are obtained, and the characters of the patient's name and the last six digits of the ID card are extracted, and the string composed of the extracted characters of the patient's name and the last six digits of the ID card is set as the dialysis folder name, and a new patient record folder is created in the dialysis storage repository, and the name of the new patient record folder is the dialysis folder name, and then the above-mentioned step S2 is executed.

[0012] The beneficial effects of the present invention are as follows: (1) The present invention initially analyzes from the perspective of potential mutation of the hemodialysis machine to determine whether the risk of potential mutation of the stability of the operating state of the hemodialysis machine is too high, and then understands whether to control the hemodialysis machine to work, so as to carry out targeted management of the hemodialysis machine to improve the operating stability and safety of the hemodialysis machine. The present invention also analyzes from the two points of collection and transmission through information feedback, so as to intuitively understand whether the collection and transmission of treatment data interferes with subsequent storage and collection, that is, to understand the overall difficulty of collecting and storing the patient's treatment data from the perspective of collection and transmission, so as to carry out targeted management, and then ensure the integrity and effectiveness of the collection and storage of the patient's treatment data; (2) The present invention performs treatment matching and information collection management analysis on basic information in an information progressive manner. On the one hand, it performs preliminary identification and matching of patients to improve the accuracy of patient treatment information storage and information integration efficiency. On the other hand, it helps to manage and set treatment information for initial dialysis patients, helps to improve the integration of patient treatment data and subsequent retrieval and query, and thus helps to improve the overall efficiency of patient treatment data collection. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The present invention will be further described below in conjunction with the accompanying drawings; Figure 1 It is a flowchart of the system of the present invention; Figure 2 It is a local analysis reference diagram of the present invention. DETAILED DESCRIPTION

[0014] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0015] Embodiment 1: See also Figure 1 to Figure 2 As shown, the present invention is an intelligent collection system for hemodialysis machine treatment data, including a data collection and processing center, a hemodialysis information database, a treatment state evaluation unit, an information deviation evaluation unit, a collection transmission analysis unit, a collection management allocation unit and an operation management unit, the hemodialysis information database is connected to the data collection and processing center in a one-way communication, the data collection and processing center is connected to the treatment state evaluation unit in a one-way communication, the treatment state evaluation unit is connected to the information deviation evaluation unit and the collection transmission analysis unit in a one-way communication, the information deviation evaluation unit is connected to the collection transmission analysis unit in a one-way communication, the collection transmission analysis unit is connected to the collection management allocation unit and the operation management unit in a one-way communication, and the collection management allocation unit is connected to the operation management unit in a one-way communication; The data collection and processing center is used to retrieve the potential operation data of the hemodialysis machine from the hemodialysis information library and send the potential operation data to the treatment status evaluation unit; The treatment status evaluation unit is used to evaluate and analyze the necessity of information collection on the received potential operation data to determine whether the potential mutation risk of the operating status stability of the hemodialysis machine is too high, and then understand whether to control the hemodialysis machine to work, so as to carry out targeted management of the hemodialysis machine to improve the operating stability and safety of the hemodialysis machine. The specific information collection necessity evaluation and analysis process is as follows: The hemodialysis machine treatment period is collected and set as the time threshold, and the potential operation data of the hemodialysis machine within the time threshold is obtained. The potential operation data includes the start-stop response value and the parameter deviation index. The number of start-stop response values ​​and parameter deviation indexes that are greater than or equal to the preset start-stop response value threshold and the preset parameter deviation index threshold is set as the operation evaluation coefficient, and the operation evaluation coefficient is discriminated: If the operation evaluation coefficient is equal to zero, a normal signal is generated; If the operation evaluation coefficient is not equal to zero, an abnormal signal is generated, and the normal signal or the abnormal signal is sent to the operation management unit. After receiving the normal signal or the abnormal signal, the operation management unit immediately makes a preset warning operation corresponding to the normal signal or the abnormal signal, so as to carry out targeted management of the hemodialysis machine to improve the operation stability and safety of the hemodialysis machine; In the embodiment of the present invention, the start-stop response value indicates the number of times that the difference between the actual end consumption time corresponding to the historical dialysis task of the hemodialysis machine and the preset end consumption time is greater than the preset threshold value. It should be noted that the start-stop response value is an influencing parameter reflecting the operating state of the hemodialysis machine. The larger the value of the start-stop response value, the greater the risk of abnormal stability of the operating state of the hemodialysis machine. In an embodiment of the present invention, the parameter deviation index indicates the proportion of the number of times that the operating condition information corresponding to the dialysis task in the total number of historical dialysis tasks of the hemodialysis machine exceeds the corresponding number of times of a preset threshold, and the operating condition information includes operating temperature, mechanical vibration amplitude, etc. It should be noted that the parameter deviation index is an influencing parameter reflecting the operating state of the hemodialysis machine. The larger the value of the parameter deviation index, the higher the probability of potential mutation in the stability of the operating state of the hemodialysis machine.

[0016] Embodiment 2: When a normal signal is generated, the information deviation evaluation unit is used to respond to the normal signal, collect the collection influence information of the hemodialysis machine treatment data, and perform information collection accuracy division analysis on the collection influence information, so as to divide the collection accuracy of the current hemodialysis machine treatment data. The specific information collection accuracy division analysis process is as follows: The collection impact information of the hemodialysis machine treatment data within the time threshold is obtained, and the collection impact information includes the information deviation index and the real-time evaluation index. The information deviation index and the real-time evaluation index are compared and analyzed with the preset information deviation index threshold and the preset real-time evaluation index threshold: If the information deviation index is less than the preset information deviation index threshold, and the real-time evaluation index is less than the preset real-time evaluation index threshold, it is determined to be level one accuracy; If the information deviation index is greater than or equal to the preset information deviation index threshold, or the real-time evaluation index is greater than or equal to the preset real-time evaluation index threshold, it is determined to be the second-level accuracy, wherein the risks of abnormal hemodialysis machine treatment data collection corresponding to the first-level accuracy and the second-level accuracy increase in sequence; The analysis process of the information deviation index is as follows: the number of collection interference information in the process of hemodialysis machine treatment data collection within the time threshold is obtained, and the number of collection interference information in the process of hemodialysis machine treatment data collection is set as the information deviation index. The collection interference information includes sensor failure, flow failure, etc. It should be noted that the larger the value of the information deviation index, the greater the accuracy risk of hemodialysis machine treatment data collection; The analysis process of the real-time evaluation index is as follows: the portion of the mean value of the collection preprocessing time of the hemodialysis machine treatment data within the time threshold that exceeds the preset threshold is obtained, and the portion of the mean value of the collection preprocessing time of the hemodialysis machine treatment data that exceeds the preset threshold is set as the real-time evaluation index. The mean value of the collection preprocessing time represents the mean value of the time between the start time and the end time of the collection preprocessing in the total number of historical uses of the hemodialysis machine. It should be noted that the larger the value of the real-time evaluation index, the greater the risk of abnormal data collection and processing capabilities, and the greater the real-time impact; When a normal signal is generated, the collection transmission analysis unit is used to respond to the normal signal, collect the collection transmission information of the hemodialysis machine treatment data, and perform information collection availability progressive analysis on the collection transmission information. The specific information collection availability progressive analysis process is as follows: The collected transmission information of the hemodialysis machine treatment data within the time threshold is obtained, and the collected transmission information includes a timeliness evaluation value and a credibility evaluation value, and the timeliness evaluation value and the credibility evaluation value are compared and analyzed with a preset timeliness evaluation value threshold and a preset credibility evaluation value threshold, and the number of the timeliness evaluation value and the credibility evaluation value that are greater than or equal to the preset timeliness evaluation value threshold and the preset credibility evaluation value threshold is set as the transmission reliability value, and the transmission reliability value is discriminated: If the transmission reliability value = 0, it is determined to be level 1 available; If the transmission reliability value = 1, it is determined to be level 2 available; If the transmission reliability value = 2, it is determined to be level 3 availability, where the data reliability corresponding to level 1 availability, level 2 availability, and level 3 availability decreases in sequence; In the embodiment of the present invention, the timeliness evaluation value indicates the product value obtained by multiplying the frequency at which the value corresponding to the transmission parameter information of the hemodialysis machine treatment data exceeds the preset threshold value by the power attenuation rate after data normalization processing. The transmission parameter information includes the delay rate, the packet loss rate, etc. The power attenuation rate refers to the attenuation rate of the power of the signal during the transmission process. It should be noted that the larger the value of the timeliness evaluation value, the lower the transmission reliability of the hemodialysis machine treatment data, and the higher the risk of data failure. In the embodiment of the present invention, the credibility evaluation value represents the product value obtained by multiplying the ratio of the number of bit errors in the hemodialysis machine treatment data to the total number of bits by the interference index after data normalization. The interference index represents the part of the environmental electromagnetic value that exceeds the preset threshold. It should be noted that the larger the credibility evaluation value is, the greater the abnormal risk of data availability is. Conduct evaluation feedback analysis on the first-level accuracy, second-level accuracy, first-level availability, second-level availability, and third-level availability. If both the first-level accuracy and the first-level availability are obtained at the same time, a valid signal is generated; If the first-level accuracy and the first-level availability are not obtained at the same time, a deviation signal is generated, and the valid signal or the deviation signal is sent to the operation management unit. After receiving the valid signal or the deviation signal, the operation management unit immediately performs the preset warning operation corresponding to the valid signal or the deviation signal, so as to intuitively understand whether the collection and transmission of the treatment data interferes with the subsequent storage and collection, that is, to understand the overall difficulty of collecting and storing the patient's treatment data from the perspective of collection and transmission, so as to carry out targeted management, thereby ensuring the integrity and effectiveness of the patient's treatment data collection and storage.

[0017] Embodiment three: When a valid signal is generated, the collection management allocation unit is used to respond to the valid signal, collect the basic information input by the patient, and perform treatment matching and information collection management analysis on the basic information, which helps to improve the patient's treatment data collection efficiency and storage reliability. The specific treatment matching and information collection management analysis process is as follows: The basic information input by the patient is obtained through the data recording program. The basic information includes name, gender, age, ID number, etc. At the same time, the basic information is extracted, and the string composed of the basic information extracted is set as the dialysis identification string. At the same time, the historical dialysis identification string list is obtained, and the dialysis identification string is compared and analyzed with the historical dialysis identification string list one by one: If the dialysis identification string corresponds to the historical dialysis identification string list one by one, a matching signal is generated; If the one-to-one correspondence between the dialysis identification string and the historical dialysis identification string list is not satisfied, a first dialysis signal is generated; When a matching signal is generated, S1: obtaining a record storage folder of the patient corresponding to the matching signal in the dialysis repository; S2: obtaining the patient's current dialysis date, extracting characters from the patient's current dialysis date, and setting the character string composed of the character extraction of the patient's current dialysis date as the sub-storage folder name, setting a sub-storage folder in the record storage folder with the sub-storage folder name, and using the hemodialysis data collector to collect the treatment data of the patient undergoing hemodialysis in real time, and storing the treatment data in the sub-storage folder name, thereby helping to improve the integration of the patient's treatment data and subsequent retrieval query; When the first dialysis signal is generated, the patient's name and the last six digits of the ID card are obtained, and the patient's name and the last six digits of the ID card are extracted, and the character string composed of the extracted characters of the patient's name and the last six digits of the ID card is set as the dialysis folder name, and a new patient record folder is created in the dialysis storage repository, and the name of the new patient record folder is the dialysis folder name, and then the above S2 step is performed, that is, the patient's current dialysis date is obtained, and the patient's current dialysis date is extracted, and the character string composed of the extracted characters of the patient's current dialysis date is set as a sub-storage folder, and the sub-storage folder is set in the record storage folder, and at the same time, the hemodialysis data collector is used to collect the treatment data of the patient undergoing hemodialysis in real time, and the treatment data is stored in the sub-storage folder, which helps to improve the patient's treatment data collection efficiency and storage reliability; In summary, the present invention preliminarily analyzes from the perspective of potential mutation of the hemodialysis machine to determine whether the risk of potential mutation of the stability of the operating state of the hemodialysis machine is too high, and then understands whether to control the hemodialysis machine to work, so as to carry out targeted management of the hemodialysis machine to improve the operating stability and safety of the hemodialysis machine, and analyzes from the two points of collection and transmission through information feedback, so as to intuitively understand whether the collection and transmission of treatment data interferes with subsequent storage and collection, that is, to understand the overall difficulty of collecting and storing the patient's treatment data from the perspective of collection and transmission, so as to carry out targeted management, and then ensure the integrity and effectiveness of the collection and storage of the patient's treatment data; By using information progression to match treatment and manage information collection, on the one hand, preliminary identification and matching of patients can be performed to improve the accuracy of patient treatment information storage and the efficiency of information integration. On the other hand, it helps to manage and set treatment information for first-time dialysis patients, improve the integration of patient treatment data and subsequent retrieval and query, and thus help to improve the overall efficiency of patient treatment data collection.

[0018] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0019] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A hemodialysis machine treatment data intelligent collection system, characterized in that: It includes a data collection and processing center, a hemodialysis information database, a treatment status evaluation unit, an information deviation evaluation unit, a collection transmission analysis unit, a collection management allocation unit, and an operation management unit; The data collection and processing center is used to retrieve the potential operation data of the hemodialysis machine from the hemodialysis information database, and send the potential operation data to the treatment status evaluation unit, which is used to evaluate and analyze the necessity of information collection on the received potential operation data, and perform discrimination processing on the obtained operation evaluation coefficient to obtain a normal signal or an abnormal signal; The information deviation evaluation unit is used to respond to normal signals, collect the collection influence information of the hemodialysis machine treatment data, and divide and analyze the collection influence information according to the information collection accuracy to obtain the first-level accuracy or the second-level accuracy; The collection transmission analysis unit is used to respond to the normal signal, collect the collection transmission information of the hemodialysis machine treatment data, and perform progressive analysis on the collection transmission information to obtain the first level availability, the second level availability or the third level availability; Conduct evaluation feedback analysis on the first-level accuracy, second-level accuracy, first-level availability, second-level availability, and third-level availability. If both the first-level accuracy and the first-level availability are obtained at the same time, a valid signal is generated; if both the first-level accuracy and the first-level availability are not obtained at the same time, a deviation signal is generated; The collection management allocation unit is used to respond to effective signals, collect basic information input by the patient, and perform treatment matching and information collection management analysis on the basic information to obtain the sub-storage folder name and dialysis folder name.

2. The intelligent collection system for hemodialysis machine treatment data according to claim 1, characterized in that: The information collection necessity evaluation and analysis process is as follows: The treatment period of the hemodialysis machine is collected and set as a time threshold, and the potential operation data of the hemodialysis machine within the time threshold is obtained. The potential operation data includes the start-stop response value and the parameter deviation index. The number of start-stop response values ​​and parameter deviation indexes that are greater than or equal to the preset start-stop response value threshold and the preset parameter deviation index threshold is set as the operation condition evaluation coefficient, and the operation condition evaluation coefficient is discriminated and processed to obtain a normal signal or an abnormal signal.

3. The intelligent collection system for hemodialysis machine treatment data according to claim 2, characterized in that: The start-stop response value indicates the number of times that the difference between the actual end consumption time and the preset end consumption time corresponding to the historical dialysis tasks of the hemodialysis machine is greater than a preset threshold; the parameter deviation index indicates the proportion of the number of times that the working condition information corresponding to the dialysis tasks in the total number of historical dialysis tasks of the hemodialysis machine has a value that exceeds the preset threshold, and the working condition information includes operating temperature and mechanical vibration amplitude.

4. The intelligent collection system for hemodialysis machine treatment data according to claim 2, characterized in that: The information collection accuracy division and analysis process is as follows: Acquire the collection influence information of the hemodialysis machine treatment data within the time threshold, the collection influence information includes the information deviation index and the real-time evaluation index, compare and analyze the information deviation index and the real-time evaluation index with the preset information deviation index threshold and the preset real-time evaluation index threshold, and obtain the first-level accuracy and the second-level accuracy; The analysis process of the information deviation index is as follows: obtaining the number of collection interference information in the hemodialysis machine treatment data collection process within the time threshold, and setting the number of collection interference information in the hemodialysis machine treatment data collection process as the information deviation index, and the collection interference information includes sensor failure and flow failure; The analysis process of the real-time evaluation index is as follows: obtaining the part of the mean value of the collection preprocessing time of the hemodialysis machine treatment data within the time threshold that exceeds the preset threshold, and setting the part of the mean value of the collection preprocessing time of the hemodialysis machine treatment data that exceeds the preset threshold as the real-time evaluation index, and the mean value of the collection preprocessing time represents the average value of the time between the start time and the end time of the collection preprocessing in the total number of historical uses of the hemodialysis machine.

5. The intelligent collection system for hemodialysis machine treatment data according to claim 2, characterized in that: The information collection availability progressive analysis process is as follows: Acquire the collection and transmission information of the hemodialysis machine treatment data within the time threshold, the collection and transmission information includes a timeliness evaluation value and a credibility evaluation value, compare and analyze the timeliness evaluation value and the credibility evaluation value with a preset timeliness evaluation value threshold and a preset credibility evaluation value threshold, set the number of timeliness evaluation values ​​and credibility evaluation values ​​that are greater than or equal to the preset timeliness evaluation value threshold and the preset credibility evaluation value threshold as the transmission reliability value, and perform discrimination processing on the transmission reliability value to obtain first-level availability, second-level availability, or third-level availability; The timeliness evaluation value represents the product of the frequency at which the value corresponding to the transmission parameter information of the hemodialysis machine treatment data exceeds the preset threshold and the power attenuation rate after data normalization, and the transmission parameter information includes the delay rate and the packet loss rate; the credibility evaluation value represents the product of the proportion of the number of bit errors in the hemodialysis machine treatment data to the total number of bits and the interference index after data normalization, and the interference index represents the part of the environmental electromagnetic value that exceeds the preset threshold.

6. The intelligent collection system for hemodialysis machine treatment data according to claim 1, characterized in that: The treatment matching and information collection management analysis process is as follows: The basic information input by the patient is obtained through the data recording program, and the basic information includes name, gender, age, and ID number. At the same time, the basic information is extracted, and the character string composed of the character extraction of the basic information is set as the dialysis identification string. At the same time, the historical dialysis identification string list is obtained, and the dialysis identification string is compared and analyzed one by one with the historical dialysis identification string list to obtain a matching signal or a first dialysis signal.

7. The intelligent collection system for hemodialysis machine treatment data according to claim 6, characterized in that: When a matching signal is generated, S1: obtaining a record storage folder of the patient corresponding to the matching signal in the dialysis repository; S2: Obtain the patient's current dialysis date, perform character extraction on the patient's current dialysis date, and set the character string composed of the character extraction of the patient's current dialysis date as the sub-storage folder name, set the sub-storage folder in the record storage folder with the sub-storage folder name, and use the hemodialysis data collector to collect the treatment data of patients undergoing hemodialysis in real time, and store the treatment data in the sub-storage folder name, which helps to improve the integration of patient treatment data and subsequent retrieval queries.

8. The intelligent collection system for hemodialysis machine treatment data according to claim 7, characterized in that: When the first dialysis signal is generated, the patient's name and the last six digits of the ID card are obtained, and the characters of the patient's name and the last six digits of the ID card are extracted. The string composed of the extracted characters of the patient's name and the last six digits of the ID card is set as the dialysis folder name, and a new patient record folder is created in the dialysis storage repository, and the name of the new patient record folder is the dialysis folder name, and then the above S2 step is executed.

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