Surgical instrument intelligent disinfection state monitoring and tracing system

Abstract

The invention provides a surgical instrument intelligent disinfection state monitoring and tracing system, which comprises a spraying unit, a disinfection cabin, an image acquisition unit, a component analysis unit, a state evaluation unit and a certification unit, and is characterized in that before the surgical instrument is disinfected, a pH response type fluorescent coating is sprayed on the surface of the surgical instrument through the spraying unit; then the surgical instrument is put into a disinfection cabin to be disinfected, fluorescence image data of the surgical instrument after the pH response type fluorescent coating is excited in the disinfection process is collected, meanwhile, components of gas exhausted from the disinfection cabin are analyzed, gas component data are obtained, the fluorescence image data and the gas component data can be transmitted into a state evaluation unit, and the state evaluation unit is used for evaluating the state of the surgical instrument. According to the method, the disinfection states of the surgical instruments at different moments in the disinfection process are evaluated, so that whether the disinfection process is carried out according to regulations can be judged, the disinfection effect is ensured, in addition, the disinfection states can be verified to be stored in the block chain, and the disinfection process of the surgical instruments can be conveniently traced.

Description

Technical Field

[0001] The present invention relates to the technical field of instrument monitoring, and in particular to an intelligent disinfection status monitoring and tracing system for surgical instruments. Background Art

[0002] With the development of medical technology and the improvement of patient safety awareness, the disinfection quality of surgical instruments is directly related to the success or failure of hospital infection prevention and control. The traditional surgical instrument disinfection process relies on manual operation and regular spot checks, and there are problems such as non-standard disinfection process, delayed effect monitoring, and incomplete traceability information. Existing monitoring technologies mostly use offline detection methods such as chemical indicator cards and biological monitoring, which can only provide results after disinfection is completed and cannot provide real-time feedback on the disinfection status. Although some intelligent monitoring systems have introduced temperature and pressure sensors, they lack continuous recording of the disinfection status at different times. It is difficult to fully restore the dynamic changes of parameters such as temperature, humidity, and disinfectant concentration during the disinfection process, and it is impossible to confirm whether the disinfection process strictly follows established procedures and standards. In addition, the fragmented storage and manual entry of disinfection data lead to low traceability efficiency and prone to data errors. Summary of the Invention

[0003] In view of this, the present invention proposes an intelligent disinfection status monitoring and traceability system for surgical instruments, which can accurately evaluate the disinfection status of surgical instruments and facilitate traceability by introducing blockchain technology.

[0004] The technical solution of the present invention is achieved as follows:

[0005] An intelligent disinfection status monitoring and tracing system for surgical instruments, comprising:

[0006] A spraying unit, used for spraying a pH-responsive fluorescent coating on the surface of the surgical instrument;

[0007] Sterilization cabin, used for placing surgical instruments and performing sterilization;

[0008] An image acquisition unit, used to acquire fluorescent image data of surgical instruments during the disinfection process in the disinfection cabin;

[0009] A composition analysis unit is used to collect data on the composition of gases discharged from the sterilization chamber during the sterilization of surgical instruments in the sterilization chamber;

[0010] a state evaluation unit, configured to evaluate the disinfection state based on the fluorescent image data and the gas composition data;

[0011] The certification unit is used to certify the disinfection status of surgical instruments to the blockchain.

[0012] The disinfection cabin is respectively connected to the image acquisition unit and the component analysis unit, and the state evaluation unit is respectively connected to the image acquisition unit, the component analysis unit and the status evaluation unit.

[0013] Preferably, it also includes:

[0014] A pre-treatment unit, used to pre-treat surgical instruments after the operation is completed;

[0015] The pretreatment includes mechanical cleaning and drying, and the spraying unit sprays a responsive fluorescent layer on the surface of the surgical instrument after being treated by the pretreatment unit.

[0016] Preferably, the execution steps of the spraying unit include:

[0017] Step S11, activating the surface of the surgical instrument;

[0018] Step S12: using a spraying device to atomize and spray the pH-responsive fluorescent coating onto the surface of the surgical instrument;

[0019] Step S13: After spraying, the coating is cured by irradiation with ultraviolet light and then dried.

[0020] Preferably, the specific steps of step S11 are: performing argon plasma treatment on the surface of the surgical instrument, and then immersing it in an ethanol solution of a silane coupling agent for a period of time and then taking it out for air drying to construct a surface covalent cross-linking layer.

[0021] Preferably, the steps of executing the disinfection cabin include:

[0022] Step S21: Load the sprayed surgical instruments into the disinfection cabin and close the disinfection cabin door;

[0023] Step S22: extract the air from the sterilization chamber to form a vacuum state and then inject saturated steam;

[0024] Step S23: Perform multiple steam-vacuum cycles using a pulsating vacuum method.

[0025] Preferably, the image acquisition unit performs the steps including:

[0026] Step S31: When the surgical instrument is sterilized in the sterilization chamber, the pH-responsive fluorescent coating on the surgical instrument is excited by the LED light source installed in the sterilization chamber;

[0027] Step S32: collecting fluorescence image data of the surgical instrument using a plurality of fluorescence imaging cameras installed in the disinfection chamber;

[0028] Step S33: De-noise, correct, and convert the format of the fluorescence image data.

[0029] Preferably, the execution steps of the component analysis unit include:

[0030] Step S41: During the sterilization process of surgical instruments in the sterilization chamber, exhaust gas is collected through a gas sampling probe provided at the exhaust pipe of the sterilization chamber;

[0031] Step S42: pre-treating the exhaust gas to remove water vapor;

[0032] Step S43: The processed exhaust gas is delivered to each detection module to obtain the type and concentration of each gas and output it as gas composition data.

[0033] Preferably, the execution steps of the status assessment unit include:

[0034] Step S51: Select several nodes in the disinfection process and obtain fluorescence image data and gas composition data at the nodes;

[0035] Step S52: extracting the fluorescence intensity and color parameters of the fluorescence image data at the node time, and converting the fluorescence intensity and color parameters into disinfectant concentration values ​​based on the pH response characteristics of the pH-responsive fluorescent coating;

[0036] Step S53: The disinfectant concentration value and gas composition data at the same node time are transmitted to the trained fusion model, and the disinfection status is calculated and output through the fusion model.

[0037] Preferably, the fusion model is composed of a convolutional neural network and an LSTM, and is obtained by training with collected historical data.

[0038] Preferably, the execution steps of the Shanghai Stock Exchange unit are:

[0039] Step S61: Obtain basic information of the surgical instrument and construct a blockchain of the surgical instrument based on the basic information;

[0040] Step S62: Based on the time sequence of the nodes, the disinfection status of different nodes is sequentially verified as a block.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] The present invention provides an intelligent disinfection status monitoring and tracing system for surgical instruments, which is used to monitor the status of the entire disinfection process of surgical instruments. Before the surgical instrument is disinfected, a pH-responsive fluorescent coating is sprayed on the surface of the surgical instrument. Then, during the disinfection process, fluorescence image data is collected when the pH-responsive fluorescent coating on the surface of the surgical instrument is excited to generate fluorescence. At the same time, gas composition data discharged during the disinfection process in the disinfection chamber is also collected. The disinfection status of the surgical instrument is comprehensively evaluated based on the fluorescence image data and the gas composition data to determine whether the disinfection is complete. At the same time, the disinfection status at different times during the disinfection process can be uploaded to the blockchain for storage, which is convenient for traceability at any time, so as to determine whether the disinfection process of the surgical instrument is compliant, ensure the disinfection effect, and avoid medical accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only preferred embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0044] Figure 1 This is a schematic diagram of a surgical instrument intelligent disinfection status monitoring and tracing system according to the present invention.

[0045] Figure 2 This is a diagram of the execution steps of the spray unit of the intelligent disinfection status monitoring and tracing system for surgical instruments of the present invention.

[0046] Figure 3 This is a diagram of the execution steps of a disinfection cabin of an intelligent disinfection status monitoring and tracing system for surgical instruments of the present invention.

[0047] Figure 4 This is a diagram of the execution steps of the image acquisition unit of the intelligent disinfection status monitoring and tracing system for surgical instruments of the present invention.

[0048] Figure 5 This is a diagram of the execution steps of the gas analysis unit of the intelligent disinfection status monitoring and tracing system for surgical instruments of the present invention.

[0049] Figure 6 This is a diagram of the execution steps of a status assessment unit of an intelligent disinfection status monitoring and tracing system for surgical instruments of the present invention.

[0050] Figure 7 This is a diagram of the execution steps of the certification unit of the intelligent disinfection status monitoring and traceability system for surgical instruments of the present invention.

[0051] In the figure, 1. Spraying unit; 2. Disinfection cabin; 3. Image acquisition unit; 4. Component analysis unit; 5. Status assessment unit; 6. SSE unit; 7. Pre-processing unit. DETAILED DESCRIPTION

[0052] In order to better understand the technical content of the present invention, a specific embodiment is provided below, and the present invention is further described in conjunction with the accompanying drawings.

[0053] See also Figures 1 to 7 The present invention provides an intelligent disinfection status monitoring and tracing system for surgical instruments, comprising:

[0054] Spraying unit 1, used for spraying pH-responsive fluorescent coating on the surface of surgical instruments;

[0055] Sterilization cabin 2, used for placing surgical instruments and performing sterilization;

[0056] An image acquisition unit 3 is used to acquire fluorescent image data of the surgical instrument during the disinfection process in the disinfection chamber 2;

[0057] The composition analysis unit 4 is used to collect data on the composition of the gas discharged from the disinfection chamber 2 during the disinfection of surgical instruments in the disinfection chamber 2;

[0058] A state evaluation unit 5 is used to evaluate the disinfection state based on the fluorescent image data and the gas composition data;

[0059] The certification unit 6 is used to certify the disinfection status to the blockchain of surgical instruments.

[0060] The disinfection cabin 2 is data-connected to the image acquisition unit 3 and the component analysis unit 4 respectively, and the state evaluation unit 5 is data-connected to the image acquisition unit 3, the component analysis unit 4 and the evaluation unit 6 respectively.

[0061] An intelligent disinfection status monitoring and tracing system for surgical instruments of the present invention is used in the medical industry to monitor and trace the status of instruments used for disinfection after surgery throughout the entire process. Before the surgical instrument completes the operation and is disinfected, a pH-responsive fluorescent coating is sprayed on the surface of the surgical instrument by a spraying unit 1. The pH-responsive fluorescent coating can change fluorescence characteristics such as intensity and color according to changes in the pH value of the environment. After the surgical instrument sprayed with the pH-responsive fluorescent coating is placed in a disinfection chamber 2, the disinfection program of the disinfection chamber 2 is selected accordingly, and then the surgical instrument can be disinfected at high temperature. During the disinfection process, disinfectant is introduced into the disinfection chamber 2. Different disinfectants have different pH values. At the same time, the chemical reactions occurring during the disinfection process will also cause the pH value in the disinfection chamber 2 to change. Therefore, the surface of the surgical instrument will exhibit different fluorescence characteristics under changes in the pH value of the internal environment of the disinfection chamber 2. Based on this, an image acquisition unit 3 is provided in the disinfection chamber 2. The image acquisition unit 3 can collect disinfection information. The fluorescent image data of the surgical instruments during the whole disinfection process includes fluorescence changes. In addition, the disinfection chamber 2 will continuously discharge gas to the outside during the disinfection process. The different types and concentrations of the discharged gas correspond to different stages of the disinfection process. Therefore, the component analysis unit 4 can collect and detect the gas discharged from the disinfection chamber 2 to obtain gas composition data. The gas composition data includes gas type and gas concentration, etc. Finally, the two different modal data of gas composition data and fluorescent image data are transmitted to the state evaluation unit 5. The state evaluation unit 5 can evaluate the disinfection status at different times. On the one hand, it can determine whether the disinfection process is completed. On the other hand, it can confirm whether the disinfection process is strictly carried out in accordance with the regulations based on the changes in the disinfection status, ensure the disinfection effect, and avoid medical infection accidents. The disinfection status at different times will be recorded in the blockchain for storage. The complete disinfection process of the surgical instruments can be clearly viewed through the content on the blockchain, which not only realizes public storage of data but also facilitates traceability.

[0062] Preferably, it also includes:

[0063] Pre-processing unit 7, used for pre-processing surgical instruments after the operation is completed;

[0064] The pretreatment includes mechanical cleaning and drying, and the spraying unit 1 sprays a responsive fluorescent layer on the surface of the surgical instrument after being treated by the pretreatment unit 7 .

[0065] Before spraying the pH-responsive fluorescent coating on the surface of surgical instruments, the surgical instruments need to be pretreated to prevent the pH-responsive fluorescent coating from being completely sprayed. The pretreatment includes mechanical cleaning and drying. Mechanical cleaning can wash away blood and tissue on the surgical instruments. After cleaning, rapid drying is performed to ensure that the pH-responsive fluorescent coating can be evenly sprayed.

[0066] Preferably, the execution steps of the spraying unit 1 include:

[0067] Step S11, performing activation treatment on the surface of the surgical instrument, specifically the following steps: performing argon plasma treatment on the surface of the surgical instrument, and then immersing the surface of the surgical instrument in an ethanol solution of a silane coupling agent for a period of time, and then taking it out and air-drying it to form a surface covalent cross-linking layer;

[0068] Step S12: using a spraying device to atomize and spray the pH-responsive fluorescent coating onto the surface of the surgical instrument;

[0069] Step S13: After spraying, the coating is cured by irradiation with ultraviolet light and then dried.

[0070] Before spraying the surface of surgical instruments, activation treatment is required. Stainless steel surgical instruments are treated with argon plasma to introduce hydroxyl polar groups. If the surgical instruments are made of titanium alloy, they can be etched to form a nano-scale titanium oxide porous layer. The treated surgical instruments are immersed in an ethanol solution of silane coupling agent for 2 minutes and then air-dried to construct a covalent cross-linked layer on the surface. The pH-responsive fluorescent coating is then atomized with an aerosol spray gun and sprayed. After spraying, ultraviolet light is used to irradiate for 10 seconds to trigger the photocuring reaction. Finally, the surgical instruments are transferred to a drying oven for rapid drying to eliminate internal stress in the coating. After drying, the surface wettability can be tested with a contact angle meter to ensure that the water contact angle is < 30° to verify the coating adhesion.

[0071] Preferably, the execution steps of the disinfection cabin 2 include:

[0072] Step S21: Load the sprayed surgical instruments into the disinfection cabin 2 and close the door of the disinfection cabin 2;

[0073] Step S22: extract the air from the sterilization chamber 2 to form a vacuum state and then inject saturated steam;

[0074] Step S23: Perform multiple steam-vacuum cycles using a pulsating vacuum method.

[0075] The surgical instruments after spraying can be loaded onto the tray of the disinfection chamber 2 to ensure that all parts of the surgical instruments are unobstructed. Then a vacuum environment is formed in the disinfection chamber 2, and saturated steam is injected into the disinfection chamber 2 for high-temperature disinfection. The high-temperature disinfection process adopts a pulsating vacuum method, that is, multiple steam-vacuum cycles are performed.

[0076] Preferably, the image acquisition unit 3 performs the following steps:

[0077] Step S31: When the surgical instrument is sterilized in the sterilization chamber 2, the pH-responsive fluorescent coating on the surgical instrument is excited by the LED light source installed in the sterilization chamber 2;

[0078] Step S32: collecting fluorescence image data of the surgical instrument using a plurality of fluorescence imaging cameras installed in the disinfection cabin 2;

[0079] Step S33: De-noise, correct, and convert the format of the fluorescence image data.

[0080] An LED light source with a specific wavelength that can excite the fluorescent coating and a high-resolution, wide dynamic range fluorescence imaging camera are installed in the disinfection chamber 2. The LED light source can evenly and stably illuminate the surface of the instrument, and the fluorescence imaging camera can cover the placement area of ​​the surgical instrument. During disinfection, the LED light source is started to excite the pH-responsive fluorescent coating. At the same time, the fluorescence imaging camera collects image data of the surgical instrument during the disinfection process. As the pH value of the internal environment of the disinfection chamber 2 changes, the intensity and color of the fluorescence will also change. Therefore, fluorescence image data with different fluorescence characteristics at different times can be collected. In order to facilitate subsequent processing, the fluorescence image needs to be preprocessed, including denoising, correction, format conversion, and grayscale processing.

[0081] Preferably, the execution steps of the component analysis unit 4 include:

[0082] Step S41: During the sterilization process of the surgical instrument in the sterilization chamber 2, exhaust gas is collected through a gas sampling probe provided at the exhaust pipe of the sterilization chamber 2;

[0083] Step S42: pre-treating the exhaust gas to remove water vapor;

[0084] Step S43: The processed exhaust gas is delivered to each detection module to obtain the type and concentration of each gas and output it as gas composition data.

[0085] During the entire disinfection process, the disinfection chamber 2 will discharge gas to the outside, and a gas sampling probe is installed on its exhaust pipe. The gas sampling probe can fully contact with the exhaust gas. During the disinfection process, the gas sampling probe collects the exhaust gas at a constant flow rate and transports it to the condenser and dryer to remove water vapor, thereby achieving pretreatment and avoiding interference with subsequent component analysis. The pretreated exhaust gas will be transported to various detection modules, such as infrared gas analyzers to detect CO2 and CO, and mass spectrometers to analyze volatile organic compounds. Various gas types and corresponding concentrations can be obtained through various detection modules. Different gas combinations and concentration distributions can indicate that the disinfection is in different states, and then the gas types and concentrations are output as gas composition data.

[0086] Preferably, the execution steps of the state evaluation unit 5 include:

[0087] Step S51: Select several nodes in the disinfection process and obtain fluorescence image data and gas composition data at the nodes;

[0088] Step S52: extracting the fluorescence intensity and color parameters of the fluorescence image data at the node time, and converting the fluorescence intensity and color parameters into disinfectant concentration values ​​based on the pH response characteristics of the pH-responsive fluorescent coating;

[0089] Step S53: The disinfectant concentration value and gas composition data at the same node time are transmitted to the trained fusion model, and the disinfection status is calculated and output through the fusion model. The fusion model is composed of a convolutional neural network and LSTM, and is trained using the collected historical data.

[0090] If it is necessary to analyze the fluorescence image data and gas composition data throughout the entire disinfection process, the amount of calculation is too large. Therefore, the present invention selects several key nodes for analysis. During the entire disinfection process, multiple different time nodes are set, and the disinfection status is evaluated based on the fluorescence image data and gas composition data at each time node. When evaluating the disinfection status, the fluorescence intensity and color parameters are obtained from the fluorescence image data, and then directly converted into a disinfectant concentration value based on the pH response characteristics of the pH-responsive fluorescent coating. The disinfectant concentration value and the gas composition data at the same node time can then be transmitted to the trained multimodal fusion model. The fusion model can perform dual-line processing on the two different modalities of fluorescence image data and gas composition data, and evaluate the disinfection status based on the processing results. Different nodes will evaluate different disinfection states, and the disinfection status will be transmitted to the verification unit 6 for verification. For the fusion model, a convolutional neural network combined with LSTM is adopted, and it is trained and verified through a large amount of historical data to accurately evaluate the disinfection status.

[0091] Preferably, the execution steps of the SSE unit 6 are:

[0092] Step S61: Obtain basic information of the surgical instrument and construct a blockchain of the surgical instrument based on the basic information;

[0093] Step S62: Based on the time sequence of the nodes, the disinfection status of different nodes is sequentially verified as a block.

[0094] Each surgical instrument has its own unique ID or number. The basic information of the surgical instrument is obtained. The basic information includes the extracted ID or number, production date, applicable type, etc. The blockchain of each surgical instrument can be constructed based on the basic information, and then the disinfection status corresponding to each node is uploaded to the blockchain in sequence. The blockchain can clearly view the change process of the disinfection status of the surgical instrument to trace whether the disinfection process of the surgical instrument is reasonable. At the same time, based on the characteristics of the blockchain, data tampering can be avoided and the authenticity of the data can be guaranteed.

[0095] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An intelligent disinfection status monitoring and tracing system for surgical instruments, characterized in that: include: A spraying unit, used for spraying a pH-responsive fluorescent coating on the surface of the surgical instrument; Sterilization cabin, used for placing surgical instruments and performing sterilization; An image acquisition unit, used to acquire fluorescent image data of surgical instruments during the disinfection process in the disinfection cabin; A composition analysis unit is used to collect data on the composition of gases discharged from the sterilization chamber during the sterilization of surgical instruments in the sterilization chamber; a state evaluation unit, configured to evaluate the disinfection state based on the fluorescent image data and the gas composition data; The certification unit is used to certify the sterilization status of surgical instruments to the blockchain; The disinfection cabin is respectively connected to the image acquisition unit and the component analysis unit, and the state evaluation unit is respectively connected to the image acquisition unit, the component analysis unit and the status evaluation unit.

2. The intelligent disinfection status monitoring and tracing system for surgical instruments according to claim 1, characterized in that: Also includes: A pre-treatment unit, used to pre-treat surgical instruments after the operation is completed; The pretreatment includes mechanical cleaning and drying, and the spraying unit sprays a responsive fluorescent layer on the surface of the surgical instrument after being treated by the pretreatment unit.

3. The intelligent disinfection status monitoring and tracing system for surgical instruments according to claim 1, characterized in that: The execution steps of the spraying unit include: Step S11, activating the surface of the surgical instrument; Step S12: using a spraying device to atomize and spray the pH-responsive fluorescent coating onto the surface of the surgical instrument; Step S13: After spraying, the coating is cured by irradiation with ultraviolet light and then dried.

4. The intelligent disinfection status monitoring and tracing system for surgical instruments according to claim 3, characterized in that: The specific steps of step S11 are: performing argon plasma treatment on the surface of the surgical instrument, and then immersing it in a silane coupling agent ethanol solution for a period of time and then taking it out for air drying to construct a surface covalent cross-linking layer.

5. The intelligent disinfection status monitoring and tracing system for surgical instruments according to claim 1, characterized in that: The execution steps of the disinfection cabin include: Step S21: Load the sprayed surgical instruments into the disinfection cabin and close the disinfection cabin door; Step S22: extract the air from the sterilization chamber to form a vacuum state and then inject saturated steam; Step S23: Perform multiple steam-vacuum cycles using a pulsating vacuum method.

6. The intelligent disinfection status monitoring and tracing system for surgical instruments according to claim 1, characterized in that: The execution steps of the image acquisition unit include: Step S31: When the surgical instrument is sterilized in the sterilization chamber, the pH-responsive fluorescent coating on the surgical instrument is excited by the LED light source installed in the sterilization chamber; Step S32: collecting fluorescence image data of the surgical instrument using a plurality of fluorescence imaging cameras installed in the disinfection chamber; Step S33: De-noise, correct, and convert the format of the fluorescence image data.

7. The intelligent disinfection status monitoring and tracing system for surgical instruments according to claim 1, characterized in that: The execution steps of the component analysis unit include: Step S41: During the sterilization process of surgical instruments in the sterilization chamber, exhaust gas is collected through a gas sampling probe provided at the exhaust pipe of the sterilization chamber; Step S42: pre-treating the exhaust gas to remove water vapor; Step S43: The processed exhaust gas is delivered to each detection module to obtain the type and concentration of each gas and output it as gas composition data.

8. The intelligent disinfection status monitoring and tracing system for surgical instruments according to claim 1, characterized in that: The execution steps of the state evaluation unit include: Step S51: Select several nodes in the disinfection process and obtain fluorescence image data and gas composition data at the nodes; Step S52: extracting the fluorescence intensity and color parameters of the fluorescence image data at the node time, and converting the fluorescence intensity and color parameters into disinfectant concentration values ​​based on the pH response characteristics of the pH-responsive fluorescent coating; Step S53: The disinfectant concentration value and gas composition data at the same node time are transmitted to the trained fusion model, and the disinfection status is calculated and output through the fusion model.

9. The intelligent disinfection status monitoring and tracing system for surgical instruments according to claim 8, characterized in that: The fusion model is composed of a convolutional neural network and LSTM, and is trained using collected historical data.

10. The intelligent disinfection status monitoring and tracing system for surgical instruments according to claim 8, characterized in that: The execution steps of the SSE unit are: Step S61: Obtain basic information of surgical instruments and construct a blockchain of surgical instruments based on the basic information. Step S62: Based on the time sequence of the nodes, the disinfection status of different nodes is sequentially verified as a block.

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